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Growth Data Scientist | Propel |
At Propel, our mission is to build modern, respectful, and effective financial tools for Americans with limited income. Over 5 million people use our app Providers, previously called Fresh EBT, to manage the benefits that keep their family well-fed and healthy, stay up to date on critical government programs, save money and earn income. Read more about the impact of the Providers app here, here, and here.
As a Data Scientist focused on our Growth Product, you’ll play a key role in fulfilling this mission by using data to rapidly scale one of the fastest growing financial products to date. You will become our expert on experimentation, helping the team to rapidly discover our greatest opportunities. Your analysis will shape our debit product, developing features custom-built to meet the needs of low income Americans.
You’ll also play a crucial role in fostering a data and experimentation-driven culture across all of Propel. You’ll make our teams more effective by collaborating cross-functionally to ensure our experimentation frameworks are well-designed and effective, and that our data we need is organized, clean, and reliable.
Propel offers a unique opportunity to create social impact at scale. We're a for-profit company backed by some of Silicon Valley’s top investors, including Andreessen Horowitz, Kleiner Perkins, and the Omidyar Network. If you’re looking to leverage your skills for social impact, come join us!
We are strongly committed to hiring a diverse and multicultural team. We encourage applications from traditionally under-represented backgrounds, including those with direct experience with the Supplemental Nutrition Assistance Program or other government benefits.
We offer:
An immediate opportunity to make an impact
A get-stuff-done and fun and caring culture
Meaningful work and a strong shared sense of mission
A remote-first working environment with headquarters in Brooklyn and satellite offices in San Francisco, Los Angeles, and Salt Lake City.
Propel believes that everyone should be compensated fairly and equitably. We set our salary ranges using compensation data from hundreds of NYC based startups at our stage. Additionally, pay is not determined based on location. The salary range for this position is $150,000 -$170,000 depending on experience. Equity and excellent benefits come with this position as well!
What you’ll do:
Design and run experiments across our company that will supercharge our growth and discover our greatest opportunities.
Conduct exploratory research to find emerging and impactful trends in user behaviors.
Foster a data-driven culture by bringing a statistical lens to our problems.
Ensure our experimental results and datasets are clean, accurate, and reliable.
What you have:
Strong investigative skills: the candidate is curious, can generate and answer their own questions.
Skilled leader in statistics, with an emphasis on experimentation, AB testing, and causality.
Strong skills in communicating all things data, whether through visualizations, writing, or presentations.
Domain expertise in growth, particularly with a focus on consumer-facing applications or personal finance.
Strong enough data skills in SQL to dig into our data and unblock yourself.
Bonus: Basic programming skills, with Python and/or R preferable.
Bonus: Experience with data transformation frameworks such as dbt or Airflow.
Bonus: Experience with data warehouses and related technologies, such as Snowflake and Fivetran.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Sr Insurance Data Scientist | Clearcover |
Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Insurance Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Insurance Data Scientist?
Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making
What will you bring as a Sr. Insurance Data Scientist?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
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Sr Auto Data Scientist Pricing R D | Clearcover |
Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Auto Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Auto Data Scientist?
Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making
What will you bring as a Sr. Auto Data Scientist?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
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Manager Senior Manager Data Science | Forward Financing |
Headquartered in Boston, Forward Financing has been recognized as a Best Place to Work by the Boston Business Journal and Built In Boston and is certified as a Great Place to Work.® At Forward, we believe every business deserves financial opportunity. That’s why we provide fast, flexible capital to small businesses that have often been underserved by traditional financing options. Our mission is to build a world-class fintech company so our customers and people can reach their full potential. We’re investing in our employees, technology, and customer experience – with long-term success in mind every step of the way.
As Manager/Senior Manager, Data Science, you will lead the execution of building and deploying our predictive models. This is an exciting opportunity to get on the ground floor of a team at a growing company, and to guide the direction of how we build our data science capabilities. The ideal candidate has past technical experience building, deploying and monitoring credit risk predictive models, and can provide a vision of the tools and processes we should use in every stage of the modeling process. You will be joining our Analytics department, and report to the Director of Analytics and Data Science.
We have a modern analytics stack (Snowflake+Fivetran+DBT) that our Analytics Engineering and Business Intelligence teams use to centralize, clean, transform and model all of our data. We have access to many third-party datasets, in addition to our internal proprietary data. You will collaborate closely with the Analytics team to build datasets that will be used by data scientists to build models. You will also collaborate closely with our Technology team to deploy models into our applications. Our company is putting a lot of resources into automating our business, and you will play a key role in helping drive this initiative forward.
In this role you will:
Identify, evaluate, and implement data science tools and processes
Hire and manage data scientists
Collaborate with data scientists, analytics engineering and technology to build and deploy predictive models
Monitor and tune existing models
Collaborate with leadership to identify predictive model use cases
Requirements:
(Even if you don’t check every box, but see yourself contributing, please apply.)
7+ years of technical data science experience
Experience creating credit risk predictive models
Experience working with lending related datasets including: credit bureau, public records and transaction level bank statement data
Proficient in SQL
Proficient in a scripting language, such as Python or R
Strong project management and communication skills
Preferred:
Experience as a people manager
Experience with Snowflake, Databricks, Tableau and DataRobot
#LI-TT1 #LI-Remote
Forward Financing Core Values:
Drive the Mission - We believe in financial opportunity for underserved small businesses. We say “yes” when others say “no.”
Keep It Real - We value direct communication, candid feedback, and authenticity. We are an open book.
Act With Kindness - We create an environment where caring is cool and helping is the norm. We do the right thing.
Shoot for Extraordinary - We are inspired by innovative thinking and continuous improvement. We never settle for yesterday’s best.
About Us:
Forward Financing is a fintech company headquartered in Boston that provides fast, flexible, and reliable capital to small businesses nationwide. Since 2012, Forward has provided over $1.8 billion in financing to more than 42,000 small businesses. Forward has been consistently named by the Boston Business Journal and Built In Boston (and more!) as one of the best places to work in Massachusetts.
Forward actively promotes a focus on diversity, equity, and inclusion in all we do. We encourage a workplace where trust and respect are paramount and all employees feel valued, heard, and accepted. By accepting diversity of thought, background, and identity, we will continue to become a stronger team and a better organization.
Our diverse and driven group of over 500 people, with more than 250 based in the U.S., and 250 internationally, is a 100% employee-owned company. Our employees come to work (or log on virtually!) knowing they are helping thousands of small businesses while advancing their own careers. If this sounds exciting to you, learn more about our leadership team and our open opportunities.
Perks & Benefits:
At Forward, our team members are at the heart of our company, and we are committed to taking care of them as people, not just employees. We offer a comprehensive benefits package including but not limited to: medical, dental, vision, and commuter benefits, a flexible time-off policy, 401k match, wellness reimbursement, paid volunteering days, annual professional development budget, and charitable donation match.
The health and safety of our colleagues is our top priority, which is why we will continue to follow the latest CDC guidelines on COVID-19 in our office. We have also implemented an Employee Choice policy, so that team members can work where they feel most comfortable.
At Forward, employee choice means each individual gets to decide where they work. Almost all team members have the choice of where to live and where to work. As a business, we are focused on impact; we are more concerned with your contributions to the success of the company than where you get your work done. If face-to-face time is desired, people managers are empowered to find a cadence that works for their team.
When we aren’t collaborating to drive business and support our customers, we’re finding virtual and in-person ways to get to know our colleagues, celebrate team wins, and have fun together!
California Employee Privacy Policy
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Business Analytics Lead Data Science Innovation | Pnc |
Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Busines Analytics Lead within PNC's Data Science Innovation organization, you will be based in Pittsburgh, PA. This a hybrid position with provides flexibility to work both in the office and remotely. Certain job responsibilities may require time in the office on a regular basis.
Job Description
Leads the analytics processes across multiple functions or business units leveraging an array of complex analytical tools to create data driven solutions. Serves as mentor to more junior employees.Leads the development of data products by working as part of an agile crew with data scientist, engineers, and developers. Consults with clients and mentors consultants on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.Determining the optimal analytic approach and supporting development, implementation and enhancements.Conceptualizing, developing and continuously optimizing analytical solution for operations and executive management to enable data driven decision making.Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Competencies
Analytical Thinking – Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business.Business Acumen – Knowledge, insight, and understanding of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations.Business Analytics – Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using advanced statistical methods to justify and drive future business planning decisions.Consulting – Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations.Decision Making and Critical Thinking – Understanding of the issues related to the decision-making process; ability to analyze situations fully and accurately, and reach productive decisions.Effective Communications – Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.Emerging Technologies – Knowledge of and ability to design, apply and evaluate new information technologies for business environments in order to improve work productivity and accuracy.
Work Experience
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.
Education
Bachelors
Additional Job Description
Base Salary: Commensurate with skills and experience.
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement:
The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at [email protected].
The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.
Equal Employment Opportunity (EEO):
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
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Data Scientist Advanced Analytics | Pnc |
Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all our employees feel respected, valued, and have an opportunity to contribute to the company’s success.
The Data Scientist, within PNC's C&IB Data Analytics organization, will be located in Pittsburgh, PA.
This position also offers the opportunity to work remotely from home.
As a Data Scientist within PNC’s Corporate and Institutional Banking division (C&IB), you will join the Data Analytics and Solutions team to solve some of the most impactful business problems using a variety of AI and ML technologies. You will collaborate closely with business partners and domain experts to develop innovative data driven solutions to support C&IB’s business growth.
Responsibilities include:
• Leading the design, development and monitoring of repeatable and interpretable custom models based on a deep understanding of underlying data, data structures, and business problems• Engaging with business stakeholders, product managers and engineers to understand their requirements and identify challenges• Ensuring deliverables meet client needs and lead to measurable gains through metrics that you will contribute to define• Developing user interfaces to share insights and outputs of models and analytics with business stakeholders
The successful candidate will have the following qualifications:• Master ‘s degree in a quantitative field (Computer Science, Machine Learning, Mathematics, Statistics…) or equivalent practical experience• 3+ years of experience as a Data Scientist• Strong background in probability, statistics, and machine learning algorithms• Excellent programing skills in Python and/or R• Advanced SQL skills• Experience with visualization tools such as Tableau, Dash or Shiny• Excellent written and verbal communication skills• Knowledge of the banking industry preferred
Job Description
Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.Participates in the data gathering, data processing and data mining of large and complex datasets.Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Competencies
Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.
Work Experience
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.
Education
Masters
Additional Job Description
Base Salary: Commensurate with skills and experience.
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement:
The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at [email protected].
The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.
Equal Employment Opportunity (EEO):
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
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Senior Data Scientist Model Owner | Pnc |
Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. Preference for candidates in the Pittsburgh, Cleveland, Columbus, or Birmingham markets.
This is a remote position that can sit within the PNC footprint, although it may not be available in all jurisdictions. There is limited expectation for regular in person, in office activities.
Duties• Assist with establishing strategic direction for PNC’s AML modeling tools that may include behavior detection, sanctions screening, forecasting, operations, and other automation tools.• Identify and capitalize upon synergies between models and data sets to improve overall effectiveness and efficiency of the AML modeling program.• Coordinate with the modeling, model risk management, AML risk management, and AML operations team to set priorities, comply with development and validation procedures, foster stakeholder buy-in, and address modeling performance issues.• Review and approve development steps for assigned AML models.• Review and approval all model documentation for assigned models.• Monitor model performance and recommend compensating measures as appropriate.• Assist with representing AML modeling function at working groups and committee meetings.• Assist with representing AML modeling function in regulatory, internal audit, and model risk management reviews.
Required Experience• Undergraduate degree in statistics, economics, financial modeling, data science, or mathematics.• Three years of experience in the construction, testing, and application of regression, decision tree, and machine learning models.
Job Description
Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.Directs the data gathering, data processing and data mining of large and complex datasets.Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Competencies
Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.
Work Experience
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.
Education
Masters
Additional Job Description
Base Salary: Commensurate with skills and experience.
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement:
The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at [email protected].
The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.
Equal Employment Opportunity (EEO):
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
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Data Scientist Intern | Lacework |
Lacework is the data-driven security platform for the cloud. The Lacework Cloud Security Platform, powered by Polygraph, automates cloud security at scale so our customers can innovate with speed and safety.
At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.
Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right—all while building bonds of teamwork and friendships that last a lifetime. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.
The Data Science & Engineering team is central to Lacework, and collaborates across multiple domains to ship value through data analysis and modeling. Our work contributes directly to delivering the core data-driven products and features that Lacework offers to its customers, as well as improving and optimizing the technologies and processes that the company relies upon.
The Role: We are looking for a Data Scientist Intern to join our Data Science & Engineering team. This is a hands-on role where you will be responsible for executing on projects with tangible deliverables for the company and to our customers. You will be expected to:
Employ languages and tools like SQL, Python, R, and/or others to perform efficient data exploration and modeling, and deploy those solutions in production.
Build actionable insights and models to help drive critical decisions and improve our products.
In partnership with engineering, product and business teams, build roadmaps & goals and execute against them while balancing speed, accuracy and precision.
Build strong cross functional partnerships.
Demonstrate good communication skills and present work to peers and leadership.
Strive to use general and scalable methodologies and tools; stay current with the latest tools and techniques.
Minimum Qualifications
Currently enrolled in a degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Economics, or other related fields).
Experience doing quantitative analysis including experience with SQL, other programming languages (e.g, Python) or statistical/mathematical software (e.g, R, SAS, MATLAB).
Experience with statistical methods such as forecasting, time series analysis, experimentation, hypothesis testing, classification, clustering, anomaly detection, regression analysis and/or others.
Experience developing data pipelines, building dashboard, and deploying machine learning models.
Ability to deal with ambiguity, drive projects / analyses to conclusion with limited supervision and communicate analysis in a clear, concise and actionable manner.
Preferred Qualifications
Currently enrolled in an advanced degree (Master’s or PhD) in a quantitative field.
Experience with cloud platforms like Snowflake, AWS, GCP, etc.
Experience in Cloud Security or Infrastructure Security.
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Director Decision Science Analytics Small Business Insurance | Usaa |
Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
This role can be remote or located at one of our USAA campuses: San Antonio, TX; Phoenix, AZ; Colorado Springs, CO; Charlotte, NC; Chesapeake, VA or Tampa, FL.
The candidate selected for this Commercial Lines position is going to get work with the recently launched Small Business Insurance product within USAA. They will work alongside an energetic team with a startup mentality, within the incredible culture of USAA.
Leads and develops a highly analytical staff that provides decision support for business areas across the enterprise. By serving as a strategic partner to the business this function will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.As a strategic partner, leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.Develops team reputation as highly skilled experts in the area of decision science support.Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts and provides business rationale and justification for additional needs.Understands the business direction, environment and strategies, to set the analytic direction and creates strategy to execute the approach that will influence business and drive change.Leads the effort and/or partners with enterprise analytics teams to build USAA core analytics capabilities and processes.Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Assigns and or Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making.Maintains and innovates knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework).Works with IT/CTO partners to advance new data and platforms that correspond to evolving skill sets.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.8 years of experience in a decision support analytic function or advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.3 years of direct team lead or management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels.Modernizes knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Preferred Experience:
Lead actuarial strategy for third-party data.Lead Analytic Data Consumption efforts.Lead the technical design & development for proprietary pricing algorithms.Perform of non-traditional models and data (including vendors).5+ years commercial insurance pricing or UW experience.2+ years people management experience.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $157,000 - $282,600.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Relocation assistance is not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Senior Economist | Usaa |
Purpose of Job
We are seeking a talented Senior Economist for our Charlotte, NC or San Antonio, TX facility.
This position may also have the option of working remotely in the continental U.S. with occasional travel as requested.
The candidate selected for this position is going to work as a Senior Economist in the Economic Forecasting Team in USAA’s Corporate Treasury area. They will work with a dynamic team providing economic forecast, macro research & insights to broader CFO community and senior leaders across the organization.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
About USAA IT
Our most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 13 million members who rely on us every day.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
Minimum requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 additional years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred experience:
Economics degree or prior experience with economic forecasting and researchR/Python skillsMacro research and data analytics experience
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective method for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this skill is: $106,800 - $192,300 *
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is Not Available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Staff Data Scientist Merchant Services | Shopify |
Back
Staff Data Scientist - Merchant Services (Remote, North America)
Americas
Data Science & Engineering
Apply now
About Shopify
Opportunity is not evenly distributed. Shopify puts independence
within reach for anyone with a dream to start a business. Since
2006, we’ve grown to over 10,000 employees and generated over $496
billion in sales for 2 million merchants in 175 countries. Every 28
seconds, an entrepreneur on Shopify makes their first sale.
This is life-defining work that directly impacts people’s lives as
much as it transforms your own. This is putting the power of the few
in the hands of the many, is a future with more voices rather than
fewer, and is creating more choices instead of an elite option.
About you
Moving at our pace brings a lot of change, complexity, and
ambiguity‚ÄĒand a little bit of chaos. Shopifolk thrive on that and are
comfortable being uncomfortable. That means Shopify is not the right
place for everyone.
Before you apply, consider if you can:
Care deeply about what you do and about making commerce better for everyone
Excel by seeking professional and personal hypergrowth
Keep up with an unrelenting pace (the week, not the quarter)
Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
Bring critical thought and opinion
Embrace differences and disagreement to get shit done and move forward
Work digital-first for your daily work
About the role
Data science is a crucial part of Shopify’s mission to make commerce better for everyone. We’re the only team able to talk to all of our merchants; we represent their voice here at Shopify.  not only when we build for them, but when we figure out what to build and how to build it. This principally includes two types of work: building products directly backed by data (e.g. machine learning models), and listening to their voice to figure out what to build and how to build it.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Team Specific Details:
Within Merchant Services, our job is to build superpowers that put small businesses on a level playing field with the largest e-commerce players.
As a Staff Data Scientist, you are expected to play a crucial role pushing forward product development across multiple domains. Staff Data Scientists do this by informing high-level product strategy and execution, building a strong and broad operating picture allowing us to move quickly, and/or improving underlying algorithms, heuristics and rules powering individual products. We expect a very high degree of autonomy and proactivity, as well as the ability to compound the work of multiple data scientists into powerful conclusions.
Responsibilities: 
Proactively identify and champion projects that solve critical problems for merchants
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Own the operating picture and use a strong analytical toolbox to highlight opportunities and guide execution
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
7-10 years of commercial experience as a Data Scientist ‚Äč‚Äč‚Äč‚Äč‚Äč‚Äčsolving high impact business problems
Proficiency in SQL and experience with software engineering fundamentals
Experience with applied statistics and general quantitative problem-solving
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Curiosity about the problem domain and an analytical approach
Strong sense of ownership and growth mindset
Experience with one or more:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Masterful data storytelling and strategic thinking
Deep understanding of dimensional modelling and scaling ETL pipelines
Experience launching productionized machine learning models at scale
Extensive domain experience in e-commerce, marketing or SaaS
All your information will be kept confidential according to EEO guidelines.
If you‚Äôre interested in helping us shape the future of commerce at Shopify, click the ‚ÄúApply Now‚ÄĚ button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
The shape of a Shopify career
Ben joined Shopify as a frontline Support Advisor with no
background in programming or computer science. He’s now a
Director of Engineering. Spanning 10 jobs on 7 teams in 9 years,
Ben’s Shopify career path has twisted and turned as he’s worked
relentlessly to pursue a career as an engineer and adapted to
the pace of change‚ÄĒall fuelled by personal and professional
hypergrowth.
Our mission as a company is to spread entrepreneurship and help
individuals become their own bosses and take control over their
lives. I truly believe this mission and value in extreme personal
growth and development extends to what’s expected as a Shopifolk.
Shopify doesn’t like to tell people what to do. Not only is your
career in your own hands, a lot of your day-to-day is too, which
can be jarring for many people. To thrive here, you need to be
someone who’s willing to take big bets on yourself and figure
things out on your own.
Ben Cox
Director, Support & CX Engineering
Ben’s growth trajectory
2014-2016
A support advisor for 2 years
Studied dev skills. Learnt about our API. Became first API support person. Found bugs to fix.
Eventually became a software dev
2017-2019
Helped launch first finance product for merchants
Became senior dev and launched new support contact centre
Led a team as a dev manager
2020-2022
Scaled a team from 4 to 60+ as a senior dev manager
Became Director for Support and CX Engineering
We hire people, not resumes. If you think you’re right for the role, apply now.
Apply now
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Staff Data Scientist Finance | Shopify |
You will need to have:
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
Experience building and managing high performance data science teams
Experience delivering business impact through analysis and data products
Experience building data pipelines and driving ETL design decisions
Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)
Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
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Senior Data Scientist Partnership Insights | Shopify |
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
The One Shopify and Executive Insights Team is responsible for three areas:
Strategic Analysis & Projects:
Engaging in strategic projects and data investigations / deep dives to inform team strategies and investment plans (e.g., merchant segmentation & opportunity sizing; growth opportunities; roadmapping).
Performance Measurement & Operational Support:
Setting north star metrics, KPIs and targets for the team.
Building self-serve dashboards to support ongoing partner performance measurement for use both internally and externally.
Conducting deep dive performance analyses on pilots, product launches & GTM initiatives.
Supporting and engaging in Monthly and Quarterly Business Reviews, sharing data insights and performance.
Executive Insights:
Surfacing executive-level insights to inform executive briefs, investor relations & external facing reports.
In coordination with Partnerships & BizOps, building strong data narratives for executives that accurately reflect performance for our partners.
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Senior Data Science Manager Buyer Trust | Shopify |
On the Buyer Trust team, we believe that buyers want to be able to trust independent merchants. Shop Promise helps merchants build this trust by showing potential buyers a guaranteed and branded delivery estimate across the buyer journey. Now that Shop Promise has been launched, we are looking for a strong leader to take the Buyer Trust Data Science team to the next phase in their journey. You’re joining a team in the early stages of building a product that has the potential to be transformational for merchants across the globe.
You will be:
Leading a team of super-talented data scientists
Guiding the short-term and long-term data science strategy for the Buyer Trust team
Providing technical leadership to our data science team as they analyze data, run experiments, create models, and build data products
Joining a cross-discipline product leadership team and contributing to the strategic decisions that guide the team’s roadmap
In partnership with product managers, engineers, and designers, building product experiences that enable Shop Promise to scale across our merchant base
This unique role combines global scale in a hyper-growth and fully remote environment. For the right individual this is the challenge and the opportunity of a lifetime.Some of the Data Science & Engineering members you’ll work with:
Mike Develin, Director of Data Science (Merchant Services)
Josh Kraut, Sr. Data Science Manager
Rohit Mishra, Director of Product, Markets and Buyer Trust
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Senior Data Scientist | Aristocrat |
Job Posting Title
Senior Data Scientist
Why Big Fish Games?
Big Fish Games is the home of some of the biggest hit mobile casual games including EverMerge, Gummy Drop!, Cooking Craze, Fairway Solitaire, and many more.
We are curious and constantly seek improvement in all we do because that’s what our business demandsWe operate with good intentions, confidence, and humilityWe welcome diversity of background, thought, and experienceWe listen actively and value each otherWe foster a fun environment that inspires creativity
Overview
We are looking for an amazing Data Scientist to support the different Game Studios at BFG. You'll be responsible for supporting A/B test design and analysis, building machine learning models, and helping to support our day-to-day operations by building scalable data science solutions. Successful candidates for this role have strong SQL and statistics skills, are passionate about games, and are clear communicators.
What You'll Do
Engage with PMs, designers, CRM managers to identify analysis requirementsDevelop a deep understanding of available data to drive ad-hoc analysis and answer questionsPerform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by businessEvaluate performance of new features and contentBuild machine learning models and work with engineering teams to productionalize model outputs.Effectively write, present and communicate research results with recommendations.
What We're Looking For
Bachelor’s degree or equivalent work experience in Statistics or related discipline such as Mathematics, Economics, Computer Science, Engineering, etc.Experience with SQL, R, PythonExperience with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validating resultsExperience with data mining, machine learning, statistical modeling tools and underlying algorithmsMinimum 1-3 years in a data science function Data visualization and dash-boarding building experience with Tableau, Looker, or similar tool
Benefits And Beyond
Employees constantly rate Big Fish Games highly for its leadership, flexibility, well-being, diversity and inclusion through quarterly surveys.
FLEX-Forward work environment: Customize the when, where, and how you work while delivering goalsHealth & More: Medical, dental, vision, life, disability, Teladoc services, employee assistance program (EAP)Work-Life: Wellness Friday (half-days), paid time off, parental leave, flexible work policy, studio holiday closure (Enjoy the week between Christmas and New Year!) Wellbeing: Wellness fairs, weekly virtual workout classes, 24/7 access to mental health and wellbeing support, free therapy and counseling sessions for you and your familyWealth Care: 401k matching, flexible spending account (FSA), employee discounts, employee stock purchase programLearn & Grow: LinkedIn Learning subscription, mentorship program, career development, individual development plans, educational assistance on job-related professional development Community & Fun: Company social events, employee impact groups, company swag, volunteer opportunities
About Big Fish
Building upon our 20-year legacy as a leader in the biggest gaming categories in the world, we are innovating and developing new products within the casual space to add to our extensive portfolio. Big Fish is dedicated to delivering amazing experiences for players to connect, compete and discover play, anywhere and on any device. This means games for broad global audiences in genres that are easy to learn, and difficult to master. Be a part of the team from the start.
Big Fish is part of Pixel United, the free-to-play, mobile-first video games business of Aristocrat Leisure Ltd (ASX: ALL)!
Big Fish Games is an equal opportunity employer. We bring unique talents together to build something special that’s why we welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
This position can be performed remotely and is currently open to residents of all locations, except in the state of Colorado and New York City.
Location
Montreal (Job Posting), Remote - USA (Job Posting)
Job family
Game Analytics
Contract Type
Regular
Time Type
Full time
Company
Big Fish Games
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Senior Data Scientist | The Kraft Heinz Company |
Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, nutritious foods. We daily earn a spot on 97% of American tables, and as guardians of beloved brands and creators of innovative products, we're dedicated To Make Life Delicious for our consumers.
Today, Kraft Heinz is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food industry. We're embracing Agile ways of working and immersing ourselves in Advanced Analytics to connect meaningful insights to our consumer experiences - all while honoring a 150-year heritage and a portfolio of 200 iconic brands. Every day, we gather huge amounts of data into a robust data infrastructure. Now, we are on a mission to transform that data into Digital products that inform our decisions and drive tangible impact. Our tech stack includes Python, Azure, Snowflake and ReactJS.
WHAT YOU’LL DO
As a Senior Data Scientist you will be a core member of one of our nimble, cross-functional teams – disrupting from inside of a global powerhouse. You will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning. Examples of problems you will solve include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers, analysts, developers, and sometimes chefs.Create repeatable, interpretable, dynamic, scalable models as the heart of new statistical products.Engineer new features by using your business acumen to improve analytical models.Collaborate to refine best practices and deploy best-in-class solutions.Evangelize the value of data-driven decision-making
WHO YOU ARE
You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have an aptitude in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow. Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry. We are creating the future of food, and we invite you to join us.
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Data Scientist | Grammarly F3435Aa7 6098 412F Bf7B 0E2Eab454C9B |
Grammarly team members in this role must be based in the United States or Canada.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, over 30 million people and 50,000 teams around the world rely on our AI-powered communication assistance technology. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientists at many levels of experience— senior, staff, and tech lead—to work with product partners to understand our users, contribute to product and growth strategy, and develop fundamental measurement frameworks.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:
Take on a broad scope of work and an evolving role in a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.
We’re looking for someone who
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.
Support for you, professionally and personally
Professional growth: We hire people we trustgive team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.
For Colorado-based employment: The base salary range (excluding equity) for this position is $180,000-239,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer, a participant in the US Federal E-Verify program (US), and abides by the Employment Equity Act (Canada).
Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia
Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario
Please note that EEOC is optional and specific to US-based candidates
#NA
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Data Science Manager | Grammarly |
Grammarly team members in this role are required to live within a daily commutable distance to San Francisco. Grammarly may provide relocation assistance.
The opportunity
Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientist Managers to lead teams and work with product partners by understanding our users, contributing to product and growth strategy, and developing fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist Manager, you will:
Have a broad scope and an evolving role in a rapidly growing company.
Lead, motivate, and grow a team of talented data scientists to drive business growth and product roadmaps using data.
Be a thought leader to influence the product and business partners.
Identify new Product and Growth opportunities.
Provide data-driven solutions to complex product and growth questions.
Advise on experimentation strategy.
Identify strategic data needs.
We’re looking for someone who
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 4 weeks per quarter, traveling if necessary to the hub where the team is based.
Preferably has 3 years of experience managing data science teams.
Has experience as an influential and effective thought partner to product teams and shows strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 5 years of relevant working experience.
Support for you, professionally and personally
Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing excellent health care (including mental health and fertility benefits) and ample and defined time off. We also offer support to set up a home office, caregiver and pet care stipends, wellness stipends, 401(k) matching (US only), admission discounts, learning and development opportunities, and more.
For San Francisco–based employment: Grammarly takes a market-based approach to compensation, meaning pay may vary depending on your location. Base pay may vary considerably depending on job-related knowledge, skills, and experience. Our compensation packages include equity; a wide range of medical, dental, vision, disability, and life insurance options; retirement benefits; and parental leave. We offer twenty days of paid time off per year (global), eleven days of paid holidays per year (US and Canada), and unlimited sick days (global).
The expected salary range for this position is outlined below by compensation zone and may be modified in the future.
San Francisco:
Zone 1: $281,000 – $336,000/year (USD)
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the US Federal E-Verify program.
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Director Clinical Data Science | Teladoc Health |
The Opportunity
Bring your analytics mastery and skills to the cutting-edge digital healthcare arena! In your role as Director, Clinical Data Science, you will be a key leader of the research and data science function within our Value Based Care Analytics team. You will develop, refine, and apply novel methodologies to understand product performance based on cost and clinical outcomes and translate that information to support the successful delivery of value-based payment arrangements. You will organize and advise the team in conducting program evaluations for internal/external audiences, performing deep-dive analytics, and informing the organization on performance within our risk-based arrangements.
For ultimate success in this role you’ll have a strong voice and perspective on how to scale our analytic capabilities, produce and deliver meaningful insights to our stakeholders, and lead a motivated team. We’re looking for a content matter expert in healthcare data and causal inference, a bridge-builder who can speak across a variety of functions throughout the organization, and someone who can both lead and contribute in different circumstances. We’re looking for someone who can listen to different perspectives and frameworks and turn varying inputs into actionable analytics. Your core competencies include leadership, creative problem solving, project management, curiosity and the drive to learn new methods, and the ability to execute.
Responsibilities
Lead and partner with a diverse team of data scientists, analysts, and actuaries in developing new insights to drive successful value-based payment arrangements through program evaluation, exploratory analyses, and evaluation of clinical and cost performance metricsServe as subject matter expert and thought leader on causal inference and cost savings/ROI analyses that support value-based payment modelsOrganize a team to advance multiple analyses simultaneously and learn together as new insights come to lightRepresent the Value Based Care Analytics team on cross functional efforts supporting the development of risk capabilities and data infrastructure improvementsAnalyze medical claims, pharmacy claims, proprietary Teladoc Health data, and other sources to understand which programs work for which clients – and whyIdentify Teladoc Health members at risk for poor health outcomes or increased medical spending to drive improvement actionsCreate cost and utilization reporting and analytics, including analytics to provide early warning insightsEngage with stakeholders to identify key analytic questions or develop hypothesis related to outcomes driversLead a diverse team of data scientists through development and execution of our analytic pipeline, delivering key results to support success in Value Based Care
Candidate Profile
Demonstrated success in mentoring and guiding other analysts and shaping team dynamics through sharing strong perspective on scalability, sustainability, and culture10+ years’ experience as a healthcare analyst or data scientist, with strong quantitative and report development capabilities, or 7+ years’ experience with a Master’s degree or higherExperience in the healthcare industry working with managed care organizations, pharmaceutical benefit management organizations, government systems, hospital systems and integrated care systemsData domain expertise in causal inference, medical and pharmacy claims data, and cost and utilization metricsStrong data analysis skills, including using R, SQL, Python and/or other statistical software packagesA knack for conveying our data’s stories in reports that spur data-driven decision-makingThe ability to manage multiple projects, exercising smart triage and good business judgmentStrong respect for confidentialityExcellent verbal and written communication skillsThe people skills to maintain productive goal-achieving relationships with colleagues and external collaborators (even if numbers are your first love)A Bachelor’s degree in Health Services Research, Epidemiology, Business Analytics, or Data ScienceExperience with data engineering/ETL
Experience developing and working in collaborative production coding environments to deliver analytic products or modelsExperience with standard health care groupersTechnical interest and experience with data visualizationMaster’s degree in Health Services Research, Epidemiology, Business Analytics, or Data Science
The base salary range for this position is $160,000-185,000. In addition to a base salary, this position is eligible for performance bonus, RSU’s, and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2022. Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.
Why Join Teladoc Health?
A New Category in Healthcare: Teladoc Health is transforming the healthcare experience and empowering people everywhere to live healthier lives. Our Work Truly Matters: Recognized as the world leader in whole-person virtual care, Teladoc Health uses proprietary health signals and personalized interactions to drive better health outcomes across the full continuum of care, at every stage in a person’s health journey. Make an Impact: In more than 175 countries and ranked Best in KLAS for Virtual Care Platforms in 2020, Teladoc Health leverages more than a decade of expertise and data-driven insights to meet the growing virtual care needs of consumers and healthcare professionals. Focus on PEOPLE: Teladoc Health has been recognized as a top employer by numerous media and professional organizations. Talented, passionate individuals make the difference, in this fast-moving, collaborative, and inspiring environment. Diversity and Inclusion: At Teladoc Health we believe that personal and professional diversity is the key to innovation. We hire based solely on your strengths and qualifications, and the way in which those strengths can directly contribute to your success in your new position. Growth and Innovation: We’ve already made healthcare yet remain on the threshold of very big things. Come grow with us and support our mission to make a tangible difference in the lives of our Members.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status or pregnancy.
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Data Scientist Ii | Teladoc Health |
Teladoc Health, Inc. seeks a Data Scientist II (Multiple Openings) at its facility located at 150 W Evelyn Avenue, Suite 150, Mountain View, CA 94041. Build automation tools, data pipelines that helps to deliver quality reports on time for a multitude of requests. Influence upstream system/design, definitions and develop scalable solutions to meet expectations from internal/external stakeholders. Run ad-hoc data-extracts for requests from diverse partners and automate those needs over time. Develop visualizations to tell stories effectively. Build insightful dashboards, self-service tools and reports to slice/dice data for helping with partners in making strategic decisions for all functional areas such as member experience, product build/performance, clinical researches, business operations, growth/retention. Engage with partners, internal and external stakeholders to ensure timely delivery of programs in a fast-paced environment. Engage with Product, Business, Engineering, and Marketing teams to understand the needs, capture requirements and be the liaison between analytics and business. Improve data quality and analytic rigor. Monitor, and triage production runs for ensuring data security and veracity. Proactively identify performance / data quality problems and remedy them. Continuously refine data quality with testing, tooling, and performance evaluation. Remote work may be permitted.
REQS: This position requires a Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering or a related field, plus 3 years of experience programming, database management, stakeholder management and automation. In the alternative the business will accept a Master’s degree or foreign equivalent in Computer Science, Computer Engineering or a related field, plus 1 year of experience programming, database management, stakeholder management and automation. Per 20 CFR 656.17(h)(4), any suitable combination of education, training, or experience is acceptable. Additionally, the applicant must have professional experience with: (1) SQL and Python or R with Data Science libraries; (2) Designing, developing, deploying, and maintaining production grade data processing and deep learning code, pipelines, and systems; (3) Jupyter notebooks to perform analytics over the data and set up automated jobs; (4) Developing dashboards and reports to share compelling storytelling through visualizations using popular BI tools; (5) Build reliable end-to-end processes and solutions with high quality data and deliver within defined timelines; (6) Data governance with a focus on securing member’s sensitive data; and (7) Agile and Scrum development methodologies. Apply below.
RATE OF PAY: $130,416.00 -$145,000.00 per year
Why Join Teladoc Health?
A New Category in Healthcare: Teladoc Health is transforming the healthcare experience and empowering people everywhere to live healthier lives. Our Work Truly Matters: Recognized as the world leader in whole-person virtual care, Teladoc Health uses proprietary health signals and personalized interactions to drive better health outcomes across the full continuum of care, at every stage in a person’s health journey. Make an Impact: In more than 175 countries and ranked Best in KLAS for Virtual Care Platforms in 2020, Teladoc Health leverages more than a decade of expertise and data-driven insights to meet the growing virtual care needs of consumers and healthcare professionals. Focus on PEOPLE: Teladoc Health has been recognized as a top employer by numerous media and professional organizations. Talented, passionate individuals make the difference, in this fast-moving, collaborative, and inspiring environment. Diversity and Inclusion: At Teladoc Health we believe that personal and professional diversity is the key to innovation. We hire based solely on your strengths and qualifications, and the way in which those strengths can directly contribute to your success in your new position. Growth and Innovation: We’ve already made healthcare yet remain on the threshold of very big things. Come grow with us and support our mission to make a tangible difference in the lives of our Members.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status or pregnancy.
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Senior Data Scientist Ml Engineer | Cleo |
Looking to do work that matters?
We get it – it’s why most people come to Cleo. Together we’re fighting for the world’s financial health, building an AI that helps our users make the best money decisions from day one. We’ve helped 4 million people so far with personalised insights and a voice you don’t expect in FinTech. But it’s time to do more.
As we enter the next phase, we’re looking for more improvisers, data geeks and grown ups who want to own their work and create meaningful change.
The team
You’ll join the existing data science function here at Cleo; a hotshot team of seven dedicated data experts with significant industry experience that is at the heart of everything we do at Cleo. You’ll build and deploy in-production models that developers will feed directly into the product.
This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user. We have interesting problems to solve on an ever-increasing scale
We are looking for Senior Data Scientists and ML Engineers that can deliver data products that solve both customer and commercial problems. Additionally, you will building out a great ML Platform to enable us to deliver new features and improvements as quickly as possible whilst keeping quality high.
What you’ll be doing
Lead the building of an extraordinary AI assistant to help users understand and manage their money
Actively building and productionising classifiers - no dependencies on engineering teams
Building upon our ML Platform to enable us to deploy, monitor and iterate seamlessly
A wide range of ML tasks: NLP, classification, recommender systems
Conducting regular A/B tests across the journey of a Cleo user
Working closely with engineers to make sure we collect the right data to produce relevant business insights
About you
At least 5 years of experience in data science or related roles
Ability to write production quality code in Python
Experience deploying machine learning / deep learning algorithms into production
Experience with the MLOps process and what great MLOps looks like
Good grasp of architecture and how best to integrate machine learning into backend services
Experience conducting large scale A/B experiments
Experience working with AWS technologies such as EC2, S3, Sagemaker
Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers
A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
What do you get for all your hard work?
Cleo is an excellent place to work:
An above market compensation package (Base + Equity). We're prepared to pay for the very best
Work at one of the fastest growing tech startups anywhere in the world who are backed by top VC firm, Balderton
The team is exceptional. You'll get to work with brilliantly forward-thinking and dedicated individuals every day
Our mission is standout. We want to radically improve everyone’s relationship with money. We're not maximising the time consumers spend in a feed, getting fast food delivered, or building an incrementally better bank. We're changing an industry in a visceral way, which you get to see every day in our customer feedback.
We are committed to making Cleo a more diverse and inclusive workplace. We are making continuous changes in order to make sure that all voices, especially those of minorities are heard, supported and celebrated. Our work doesn't stop at hiring, and we are providing every employee with training, support and development throughout their Cleo career, alongside training specific to inclusivity.
#LI-AS1
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Data Scientist | Cleo |
Looking to do work that matters?
We get it – it’s why most people come to Cleo. Together we’re fighting for the world’s financial health, building an AI that helps our users make the best money decisions from day one. We’ve helped 4 million people so far with personalised insights and a voice you don’t expect in FinTech. But it’s time to do more.
As we enter the next phase, we’re looking for more improvisers, data geeks and grown ups who want to own their work and create meaningful change.
The team
You’ll join the existing data science function here at Cleo; a thoughtful and collaborative of six dedicated data scientists with significant industry experience that is at the heart of everything we do at Cleo. You’ll build and deploy in-production models that developers will feed directly into the product.
This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user. We have interesting problems to solve on an ever-increasing scaleHere's a great blog post on how data science works at Cleo!
What you’ll be doing
Improving our current machine learning models in credit risk, income classification and fraud
Actively building and productionising classifiers - no dependencies on engineering teams
A wide range of ML tasks: classification, recommender systems, NLP
Conducting regular A/B tests across the journey of a Cleo user
Building models of user-segmentation, marketing attribution, customer lifetime value etc.
Working closely with engineers to make sure we collect the right data to produce relevant business insights
About you
At least 2 years of experience in data science or related roles
Ability to write production quality code in Python and SQL
Experience deploying machine learning / deep learning algorithms into production
Experience conducting large scale A/B experiments
Experience working with AWS technologies such as EC2, S3, Sagemaker
A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
Nice to have
Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers
Experience with NLP methods a plus
What do you get for all your hard work?
Salary banding can be seen here. You'll also have equity options. You can view our progression framework and salary bandings here: https://cleo-ai.progressionapp.com/ - This role would be from level DS2 to DS3 depending on experience - we can pay between £45,000-£79,000 p.a
Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures
Cleo is a culture of stepping up. We want, and expect you to grow and develop. That means trying new things, leading others, challenging the status quo and owning your impact. You’ll have our support in everything you do. But more importantly, you’ll have our trust.
We treat you as humans first, employees second. Because we can’t fight for the world’s financial health, if we’re not healthy ourselves. This means the usual perks but it also means flexibility.
Other benefits include;
25 days Annual leave a year + public holidays
4.30pm finish every Friday
Regular lunch-and-learns as part of a general learning culture
Online courses and internal training to level up your skills like from coding, to SQL, to management training
Choose your own gear, ask for the tools you need, and we’ll seek them out for you
Cleo socials and activities
Online mental health support via Spill
Access to Pushfar - online platform for external mentorship
A clear career progression path through Progression https://cleo-ai.progressionapp.com/
And many more!
We are committed to making Cleo a more diverse and inclusive workplace. We are making continuous changes in order to make sure that all voices, especially those of minorities are heard, supported and celebrated. Our work doesn't stop at hiring, and we are providing every employee with training, support and development throughout their Cleo career, alongside training specific to inclusivity.#LI-AS1
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Data Science Insights Manager North America | Getty Images |
Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.
Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Data Science Insights Manager - United States or Canada
Duration: Permanent
Location: United States or Canada
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
We are looking for a Data Science Insights Manager to lead data insights and experimentation across Search. Using your knowledge of statistics, experiment design, and analysis while considering the broader business context, you will lead our data scientists and analysts to uncover product opportunities with data, define metrics, and measure experiments. This position will have an impact on the search and browse paths for millions of customers.
You will have access to a growing, rich dataset of the most trusted, esteemed, and diverse visual content in the world with over 250 million award-winning images and videos encompassing the latest global news coverage from red carpet events to football stadiums to conflict zones; outstanding conceptual creative images; and the world’s largest commercial archive. With a global presence, our search interaction data comes from over 50 million outstanding visitors a quarter from almost every country in the world.
Your Next Challenge:
Lead, guide, and mentor other data scientists and data analysts in experiment design, test analysis, customer insights, and building new metrics. You will provide individual contributions, as well as mentor others.
Develop and helm our insights and experimentation short-term and long-term roadmap, aligned to product needs and driving acceleration of our experimentation
Partner with product managers, data engineers, machine learning engineers, search engineers, designers, and user researchers
Drive evolution of data critical to our team, including define data requirements to support analysis and experimentation needs
Partner with other data teams at Getty Images, including marketing, content planning, and business intelligence.
Support team members in their professional growth.
What You'll Need:
Validated expertise leading data insights and experimentation for customer-facing products
At least 4 years of hands-on technical experience
A minimum of 1 year of experience managing a team
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred
Proven expertise as a technical lead providing mentorship and guidance to team members
A strong understanding of experiment methods and statistical techniques, including the real-world advantages and drawbacks. Preferred: expertise in Bayesian statistics and time-series
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries (ex: scikit-learn, numpy, pandas, scipy, SQL, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible analyses
Outstanding communication skills at all levels, including sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
Mental and Physical Demands:
Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)
Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.
Benefits at Getty Images
Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire. For more information on these benefits, you may request an electronic copy of our Benefits Guide.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!
Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
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Machine Learning Research Scientist | Atomic |
From the latest in Edge AI platforms to cloud-ready solutions, Paravision powers computer vision-centric solutions that deliver breakthrough capabilities in the most challenging conditions. We’re the top-ranked face recognition provider from the U.S., UK, and EU, delivering world-class capability with an ethical and customer-centric approach. In alignment with our company values, we hire people who are collaborative with a growth mindset, intellectually strong and curious, and energy accretive.
Our business is growing rapidly, and we seek a highly motivated Machine Learning, Research Scientist to join our world-class distributed technical team. This role will report directly to our Director of Machine Learning, and be an accelerant for the rapid growth Paravision is experiencing.
What You'll Do:
Design and code highly scalable, machine learning applications processing large volumes of image and video data.
Develop and implement state of the art algorithms for face detection, face recognition, face clustering and liveness.
Measure progress against industry standard benchmarks such as WiderFace, COCO, NIST-FRVT.
Collaborate with others in crafting and implementing your technical vision.
Follow agile processes with a focus on delivering production-ready testable code in small iterations.
Participate in the entire development lifecycle, from concept to release.
Participate in all phases of quality assurance and defect resolution.
What You Bring:
PhD in Computer Science or related field with research in machine learning.
3+ years of experience building machine learning or AI systems.
OR MSc in Computer Science or related field and 10 years software engineering experience in a related advanced technology environment.
Expert skills with machine learning software packages (e.g., PyTorch, MXNet, Caffe, scikit-learn, TensorFlow).
Deep understanding of mathematical foundations of Machine Learning algorithms.
Experience working with large datasets.
What You Have:
Excellent problem-solving, analytical and interpersonal skills.
Ability to work autonomously and willingness to roll up one’s sleeves to get the job done.
Polished communication style, both oral and written, and a comfort interfacing with various levels across the organization, with both technical and non-technical audiences.
Ability to manage multiple, competing priorities simultaneously.
A true passion for technology and thoughtful delivery of next-generation capabilities.
Bonus to Have:
Solid knowledge in state-of-art deep learning models and optimization methods.
Experience working with different types of Generative Adversarial Networks (Style, Cycle, etc.).
Experience working with one of the major cloud services: AWS, GCP or Azure.
Prior computer vision or image processing experience.
Ability to independently conduct literature survey, find cutting edge heuristics or algorithms, and implement them in an engineering environment.
Experience with building Operations Research/Machine Learning algorithms and productionizing them at scale in a distributed computation environment.
Publication in peer-reviewed journals or conferences is a plus.
What You'll Get:
Competitive salary with meaningful equity compensation and excellent benefits.
The opportunity to work with a group of highly talented and equally nice people while making a huge impact.
Work-life flexibility - we value your contributions above all.
A professional environment with a focus on teamwork.
Paravision is focused on building a diverse and inclusive workforce, and we believe the more inclusive we are, the better our company will be. We are proud to be an Equal Opportunity Employer and consider applicants for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, age, or marital, veteran, or disability status, or other applicable legally protected characteristics.
We consider for employment all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. If you require assistance or accommodation during the recruitment process due to a disability, please let us know.
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Lead Data Scientist | Invision |
InVision is the leading product design and development platform for teams building world-class digital products. It’s every company’s imperative to continuously innovate and improve on their customer experience: InVision’s platform, education, and community enable creative collaboration across teams and geographies for improved speed-to-market and powerful business results.
More than 7 million people across global enterprises and small teams come to us when they are looking for digital transformation. That process doesn’t start and end in any design tool: it encompasses ideation, conversation, visual collaboration and so much more. Teams use InVision to create, prototype and test new ideas; develop repeatable and streamlined processes in design, product and engineering; and improve workflows to move more efficiently from inspiration to production and drive innovation. The InVision platform allows teams to collaborate throughout the process with every stakeholder, giving individuals the visibility and know-how they require. Customers include 100 percent of the Fortune 100 and organizations including American Express, Adidas, Boeing, Ford Motor, Netflix, HBO, Ikea, Slack and Virgin Atlantic.
InVision is a fully distributed company with people in more than 20 countries. Investors include Accel, ICONIQ, FirstMark, Tiger Global, Battery Ventures, and Spark Capital. Visit us at InVisionApp.com and InVisionApp.com/blog.
Our team is in search of a Lead Data Scientist to help us change the way digital products are designed.
About the Team:
You will be joining our Data Science team and have the chance to make a large impact at InVision. Our Data Science team is part of a broader, cross-functional Insights team, combining qualitative and quantitative research to answer questions holistically. As a member of this team you’ll collaborate closely with user researchers to deliver a mixed-methods portfolio of insights to better understand our customers and shape our product strategy.
You will support our very data-driven Product team to identify key metrics, conduct rigorous analyses, and deliver novel insights to empower decision-making. You will be a trusted partner in the team tackling the toughest and most impactful analytical problems.
What you’ll do:
Act as a critical thought partner & collaborate closely with senior leadership across Product, Engineering, and Design
Collaborate in mixed-methods research to understand user engagement
Support company OKRs and roadmap by identifying opportunities & quantifying impact of product launches through in-depth quantitative analysis
Define and monitor key metrics; create the tools we need quantify the success of the product
Guide product iteration with experiments
What you’ll bring:
5+ years of hands-on data experience
A passion for and track record of leveraging data for business impact
Excellent communication skills with the ability to distill complex problems into meaningful and interpretable insights
Expert fluency in SQL-based data manipulation
Fluency in scripting languages such as Python/R
Experience with basic statistical models and experimentation techniques
BA/BS or Master’s in statistics or other quantitative field preferred
Nice to have:
Previous experience with a SaaS or design-forward software company
Experience with predictive models and more advanced statistical techniques
Experience with data modelling, design of ETL flows, and other components of analytics engineering
About InVision:
InVision offers an incredibly unique work environment. The company employs a diverse team all over the world. Each InVision team member is given the freedom and tools to do their best work from wherever they choose.
The benefits we offer in the United States and Canada include competitive health plans and retirement plans. Some InVision-wide benefits offered to all employees across the globe include a flexible vacation policy, monthly coffee shop stipends, annual allowances for books related to your profession, and home office setup & wellness reimbursements. InVision is an international employer so some benefit offerings will vary from country to country.
InVision is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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Senior Data Scientist | Panasonic North America |
Panasonic Smart Mobility Office – Senior Data Scientist
Does the idea of working at the intersection of next gen software innovation, advanced data analytics, and consumer-experience design excite you? Do you thrive in a team that focuses on solving complex problems in a fast-paced environment? Do you want to build new products focused on democratizing connected vehicle data to improve roadway safety and help save lives? Then apply now and come be a part of the amazing team creating an intelligent digital mesh for the future of the mobility ecosystem!
CIRRUS/V2X: https://na.panasonic.com/us/industries/intelligent-transportation
Click here to learn more about how Panasonic is creating a better life, a better world.
Watch this video to see how our employees are shaping the technologies that move us.What You'll Get to Do:
Lead the development and execution of new and highly complex algorithms, machine learning, and statistical predictive models to evaluate potential future outcomes.Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data to identify patternsWork with senior team members and business partners, particularly in engineering and product management, to develop innovative analysis solutions that address top outcomes, including feature development/enhancement, system health monitoring, testing, and troubleshooting.Research and assess value of potential new data sources under consideration for the Cirrus/V2X data environment and make recommendations to the team.
Education & Experience:
Experience with statistical analysis methods, such as classification, collaborative filtering, association rules, topic modeling, time-series analysis, regression, statistical inference, and validation methods.Experience with data and machine learning services using Amazon Web Services (AWS) (strongly preferred), Azure, and / or Google Cloud.Expert in programming tools/languages commonly used for data manipulation, especially SQL and Python.Advanced knowledge and/or experience with data visualization and analysis tools, e.g. Tableau, Spotfire, etc.Preferred experience working in an agile product environmentPreferred experience mentoring junior team members in data and analysis techniques.
What We Offer:
Competitive compensation “The pay for this position is expected to start at $140,000 per year or higher, based on qualifications. This position will be eligible for an annual target bonus of 20% based on individual and company performanceComprehensive benefitsPet InsurancePaid Parental Care LeaveEmployee Referral ProgramEducational AssistanceFlexible Work ProgramVolunteer time OffCasual Dress CodeTotal Well Being Program
Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Corporation of North America.
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Data Scientist New Grad | Gopuff |
Position Overview:
Are you passionate about advanced analytics and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.
Gopuff is a high-growth startup that is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 700+ cities within the US and expanding quickly.
As a Data Scientist at Gopuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including recommendation and personalization, predictive LTV, pricing optimization, predictive inventory planning, operations optimization, etc. You will also drive changes that increase efficiencies and improve the customer experience. You’ll have the opportunity to make a huge impact on the future success of goPuff.
We’re looking for a doer, problem solver, and thought-leader.
Key Responsibilities:
Collaborate with our business and engineering partners across the organization to deliver data science solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects and implement advanced analytics solutions that become essential to our daily business operations
Build Recommender Systems and personalization solutions to greatly enhance shopping experience
Build models that support real-time events and internal stakeholder decisions across the business - from Marketing and Merchandising to Operations and Supply Chain
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure Ecosystems and etc.
Drive adoption of data products and data science solutions into the planning process for investment decisions with finance and the leadership teams
Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Required Qualifications:
Currently pursuing a Masters or Ph.D. in statistics, mathematics, analytics, computer science, engineering or another quantitative field from an accredited university or college
Graduating between December 2022 - June 2023
Preferred Qualifications:
Hands-on experience applying descriptive statistics, machine learning, predictive modeling to solve challenging problems
Programming skills in Python
Data querying skills in SQL
Excellent communication and presentation skills
Ability to explain technical concepts in simple terms to business stakeholders
Move fast, be a team player, always be learning and give back
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Product Data Scientist Senior And Staff Levels | Mozilla |
At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on real-world data. You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
We have multiple openings for the following:
The Role
As a Data Scientist at Mozilla:
You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends
You build key data sets to empower operational and exploratory analysis
You advocate for standard methodologies across the organization
You own the definition, evaluation and reporting of key product metrics
You communicate narratives with data to many audiences, ranging from product managers to technical leads
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set. Experience comes in all forms and personal projects count. We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R. You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
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Inference Data Scientist Staff Level | Mozilla |
Now more than ever, the Internet is a utility that facilitates modern life. At Mozilla, we take this to heart, striving to build products that keep the Internet open, accessible, and secure for everyone. We collect terabytes of data every day from millions of users to guide our decision-making processes. We need your help to enable the future of Mozilla in a way that makes us proud!
As a Data Scientist within the Data Org, you will work as part of a cross-functional team that is responsible for understanding and empowering the future of Mozilla.
The Role
The Data Science team sits at the intersection of finance, business, operations, product, engineering, and leadership. We collaborate closely with these partners to provide meaningful insights.
As a Data Scientist at Mozilla you will:
Apply a variety of statistical methods including causal inference to understand the intricate ecosystem of our users, products, partners, revenue
Build key data sets to empower operational and exploratory analysis
Define, evaluate and report on key business metrics
Generate data-informed insights and communicate these data stories to colleagues to influence decision making across Mozilla
Contribute to the team through mentorship, technical methods, improvements in how we work
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 2+ years of experience applying these skills in an industry setting.
You have experience in SQL or SQL-like environments, as well as scripting languages such as Python or R and desire to gain further technical experience on the job.
You have owned complex projects from inception to completion and your work has influenced entire organizations. You’ve contributed to and executed against data science roadmaps in collaboration with others.
You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
Experience synthesizing product and revenue data is a plus!
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
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Vp Data Analytics | Quartz |
Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
We are deeply committed to growing a diverse team and an equitable and inclusive culture where all Quartetians are empowered to be themselves and do their best work. We know this is vital in realizing our mission to improve the lives of people with mental health conditions. As part of our commitment to building a diverse team, we have signed the Parity Pledge and actively encourage applicants of all backgrounds to apply.
About the team & Opportunity:
Quartet is a data-driven organization and our Data & Analytics team is key to our success. As VP, Data & Analytics, you will report to our Chief Technology Officer and work closely with the wider leadership team to create a dynamic team that, in collaboration with your peers, can successfully execute on our ambitious mission to improve access to high-quality, value-based mental health care. You will provide strong leadership to the Data & Analytics teams.
Accountabilities:
Provide leadership, passion, ownership and motivation across a team of data scientists, data analysts, and data operations specialists.
Hire, develop, and retain exceptionally talented people with diverse data science skills, giving them the autonomy and guidance to best deliver our business outcomes.
Prioritize a high-value, strategic innovation agenda for the data teams and ensure that people and teams are organized against the most important goals of the company.
Establish relationships and effective communications with other executives to drive outcomes and ensure scientific method and research drive the product roadmap.
Regular meetings with clients to represent the voice of data and analytics, from evaluations and ROI to algorithm efficacy and data insights.
Embed patient and customer understanding and a focus on outcomes into the broader technology team by supporting investments in our organizational development and cross-cutting initiatives.
Minimum Qualifications:
Prior experience managing a team of direct reports within the Data Science, Engineering, Analytics space, etc.
Significant Experience building, motivating and retaining a high performing, flexible and collaborative data and analytics function.
Prior experience in a role that involved regular engagement with external customers or clients
A proven hands-on technical background in data science with demonstrated strategic impact at an executive level and the scale of industry.
While we are open and encouraging of people picking up new technologies, a familiarity with our technical stack is a plus. That includes (but is not limited to) the following:
AWS, Linux, Redshift, Python, R, SQL, Docker, TensorFlow, Keras, Numpy, Scipy, Pandas, Gensim, Scikit-learn, NLTK, Jupyter
A strong problem solver with experience building technical strategy and understanding technical tradeoffs and risk.
Bachelor's degree in a technical field (i.e. Computer Science, Engineering, etc.) or equivalent training, fellowship, or work experience.
Preferred Qualifications:
Experience working within the health-tech space with a proven record of bringing successful data products to market.
You have an entrepreneurial mindset, drive and skills necessary to build and scale a lean organization.
You display a positive attitude and are adept at getting things done while managing stakeholder expectations across the organization.
Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants.
Want to know what Quartet life is like? Click here to meet our team.
Quartet actively encourages applicants of all backgrounds to apply and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. To perform this job successfully, an individual must be able to perform essential job duties - reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. If you require assistance in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]
Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. [email protected]). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: [email protected].
Have someone to refer? Email [email protected] to submit their details to us.
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Senior Data Scientist | Quartet Health |
Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
We are deeply committed to growing a diverse team and an equitable and inclusive culture where all Quartetians are empowered to be themselves and do their best work. We know this is vital in realizing our mission to improve the lives of people with mental health conditions. As part of our commitment to building a diverse team, we have signed the Parity Pledge and actively encourage applicants of all backgrounds to apply.
About the team & opportunity:
As a Senior Data Scientist at Quartet, you will work on a range of projects -- from developing statistical analyses to study impact of Quartet interventions; to predicting mental health needs among populations; to building machine learning models to suggest timely and appropriate behavioral health care interventions for patients.
You will own the design and implementation of Quartet’s algorithm for identifying patients with unmet mental health needs. By leveraging knowledge of computer science, machine learning, data mining and software architecture, you’ll work to build high-quality data products (for example: an entity resolution and de-duplication library; a Machine Learning application; an optical mark recognition - OMR - computer vision application).
This will involve designing and developing effective models, features, and algorithms involving multiple datasets (i.e. user activity, Electronic Health Records, healthcare claims, etc.) while collaborating effectively within the Data Science team, as well as cross-functional groups at Quartet.
Accountabilities:
Research and develop machine-learning and statistical models in Quartet Health’s platform to identify patients with unmet mental health needs who would benefit from Quartet’s products and services.
Design, develop and own data pipelines for patient identification and program evaluation.
Work with data scientists on Quartet’s evaluation team to design metrics and performance evaluations for both the patient identification algorithm and Quartet’s other core service offerings.
Drive a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency.
Perform Machine Learning (ML) research and exploratory data analysis; develop model evaluation and online maintenance methodologies, including confidence estimation, calibration, and concept drift.
Develop general-purpose frameworks to support machine learning applications in production.
Minimum Qualifications:
A Master's degree in computer science, engineering or statistics (or other technical field) and 3+ years experience working as a data scientist.
Formal training in statistics
Knowledge of mathematical fundamentals: probability theory, linear algebra and statistics.
Strong background in Machine Learning (ML) engineering.
Strong data transformation and extraction skills with SQL databases.
Strong statistical programming skills in both Python and R.
Comfort/self-sufficiency with the following: Amazon Web Services (AWS) infrastructure, Linux command line, git for version control.
Ability to work on projects from initial to final phase- beginning by defining a problem, developing an implementation plan, and overseeing deployment and maintenance.
Ability to clearly communicate across disciplines and work collaboratively.
Preferred Qualifications:
A PhD in a technical discipline (i.e. Computer Science, Engineering, Statistics, Economics)
Experience working within a healthcare technology environment
Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants.
Want to know what Quartet life is like? Click here to meet our team.
Quartet actively encourages applicants of all backgrounds to apply and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. To perform this job successfully, an individual must be able to perform essential job duties - reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. If you require assistance in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]
Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.
Have someone to refer? Email [email protected] to submit their details to us.
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Data Scientist Marketing Science Lead | Tombras |
Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Sr. Data Analyst, Performance Media to join the Data Analytics department.
This position is remote to start and can be based in our Knoxville or Atlanta offices or continue remotely.
You’ll be joining one of the top independent agencies in North America. We blur the lines between a creative agency, a digital agency and a management consultancy. Our digital offering is married to the discipline and rigor of our Effie-winning strategists and Cannes Lion-winning creative directors. We are united by our philosophy: Connecting Data & Creativity for Business Results®. You’ll also be a part of a highly creative agency that has been recognized by Advertising Age, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named one of Ad Age’s 2019 A-List Agencies to Watch.
The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.
What you will be doing:
Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results.
Develop the framework and approach for marketing science and develop bespoke offerings.
Employ best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices.
Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models.
Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation.
Eventually, serve as the direct manager to a team of data scientists that you recruit and develop.
What you bring:
4-7+ years of experience in marketing science, advertising analytics, or related, agency experience preferred
Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trial, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models
Strong experience with automation, business intelligence platforms, digital activation, the programmatic ecosystem, DSPs/DMPs/CDPs.
Strong competency with python, R, SQL, and other commonly used statistical tools
Client services mindset
Ability to influence clients and partner agencies to act on insights
Ability to distill complicated information into succinct graphical presentations for senior stakeholders.
Why you’ll want to work at Tombras:
Modern offices & amenities in desirable locations
(Gay St. in Knoxville/Buckhead in ATL)
Dog-friendly offices (Knoxville)
Casual dress & environment
Free Parking (Knoxville/ATL/CLT)
11 Paid Holidays, including MLK Jr. Day & Juneteenth
Paid Volunteer Days
Generous parental leave for primary and non-primary caregivers.
Medical (PPO or High Deductible option) for employee + dependents
Employer paid Dental & Vision
Employee Assistance Program for employees + dependents
Includes 3 free counseling sessions per life event
HSA Employer Contributions
Dependent Care FSA Option
Employer-paid life and disability insurance
401(k) Participation + discretionary employer contribution
Highly collaborative and high-energy work environment
Model of ongoing feedback for continuous career growth and development
A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.
Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to their culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, veteran’s status, color, religion, disability, sexual orientation, appearance, opinions or beliefs and more.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.
Remote employees must be based in the United States.
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Data Scientist Data Feeds | Chainlink Labs |
All roles with Chainlink Labs are globally remote based. We encourage you to apply regardless of your location.
Chainlink Labs is the market leader in providing a decentralized oracle solution for smart contracts to connect to real-world data and market prices of assets. The Data Feeds team seeks to equip oracle operators with proper insights in order to offer services backed by reliable data providers.
As a Data Scientist on the Data Feeds team, you will work closely with engineers and data analysts to build out robust monitoring and analytics of data sources that drive the Chainlink oracle data ecosystem. The current focus is price feeds on centralized and decentralized exchanges - analyzing price, liquidity, volatility, and will quickly evolve to other data types to meet the growing demands of the blockchain ecosystem. You will report to the engineering manager on the team.
Your Impact
Partner with analysts to continuously improve data quality monitoring and scoring of data sources that powers the Chainlink ecosystem
Develop models to detect early signs of a data provider misbehavior for the business to respond to before negative consequences occur
Partner with engineering to build robust monitoring and alerting solutions to detect and triage anomalies
Own data pipelines end to end to support your core functions and model reusable data sets as the data warehouse continues to grow
Closely work with other data scientists at Chainlink Labs to improve craft and align on best practices.
Requirements
Professional experience working with financial market and exchange data.3+ years of professional Data Science experience
Professional experience and comfort performing complex manipulation in SQL on large datasets
Advanced knowledge of data modeling, pipeline, and warehousing
Proficiency in programming fundamentals in a language such as Python or Golang
Experience owning multi month long projects, including communication of progress, dependencies, and risk mitigation directly with stakeholders and partners.
Desired Qualifications
Interest and/or experience in blockchain and other Web 3.0 technologies
Professional experience working closely alongside an engineering team
Professional experience in BigQuery
Professional experience owning the development of a data pipeline from data lake to model
Experience working in an agile environment
Experience working with a team located across multiple time zones
Our Stack
Golang, TypeScript, Solidity, Postgres, Terraform, AWS
Our Principles
At Chainlink Labs, we’re committed to the key operating principles of ownership, focus, and open dialogue. We practice complete ownership, where everyone goes the extra mile to own outcomes into success. We understand that unflinching focus is a superpower and is how we channel our activity into technological achievements for the benefit of our entire ecosystem. We embrace open dialogue and critical feedback to arrive at an accurate and truthful picture of reality that promotes both personal and organizational growth.
About Chainlink Labs
Chainlink is the industry standard oracle network for connecting smart contracts to the real world. With Chainlink, developers can build hybrid smart contracts that combine on-chain code with an extensive collection of secure off-chain services powered by Decentralized Oracle Networks. Managed by a global, decentralized community of hundreds of thousands of people, Chainlink is introducing a fairer model for contracts. Its network currently secures billions of dollars in value for smart contracts across the decentralized finance (DeFi), insurance, and gaming ecosystems, among others. The full vision of the Chainlink Network can be found in the Chainlink 2.0 whitepaper. Chainlink is trusted by hundreds of organizations—from global enterprises to projects at the forefront of the blockchain economy—to deliver definitive truth via secure, reliable data.
This role is location agnostic anywhere in the world, but we ask that you overlap some working hours with Eastern Standard Time (EST).
We are a fully distributed team and have the tools and benefits to support you in your remote work environment.
Chainlink Labs is an Equal Opportunity Employer.
#LI-Remote
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Data Scientist | Currencycloud |
About Currencycloud
Currencycloud is somewhere where innovative thinking and the power of technology know no limits. We know that the success of the business depends on the people who keep it moving, which is why we are looking for exceptional talent to join our international payments revolution.
We are an open & collaborative Fintech unicorn that lives and breathes our company values:
Be Human, Better Together and Own it.
About this role...
As a data scientist, you will be working within a growing team, consisting of data engineers, analysts, and other data scientists. The role of this team is to provide a stable data management platform to help the other departments gain actionable insights from their data.
The main responsibilities include building prototype models for investigation projects, communicating any findings with stakeholders in an iterative/agile workflow, and contributing to any production workflow code base.
Our data stack and infrastructure is built upon Snowflake and the AWS cloud. For our day-to-day workflow, we are making frequent use of SQL queries, and the scientific stack of libraries in the Python language.
What you'll get to do?
Contributing to project development ideas - this is a particularly important aspect of the job; you will be expected to deliver creative ideas to the company, and in return, your contributions will be considered and given credit
Collaborate with other team members in an Agile workflow: Daily stand-ups and wrap-ups, sprint planning and refinement and writing stories and epics
Performing data integrity checks and data cleaning of raw datasets
Carrying out exploratory data analysis (EDA) of these datasets
Writing prototype models in an interactive development environment (Jupyter) for presentation to colleagues, and for iterative development
Contributing to project codebases
Version control with Git
Writing robust and tested code
Reviewing pull requests from colleagues
What skills and experience you'll need?
Essential:
Proficiency with Python, including libraries such as numpy, pandas, matplotlib/seaborn, jupyterlab/notebooks
SQL, any flavour
Knowledge of software design principles including version control wth Git / Github and writing Unit tests
Building machine learning models and pipelines such as:
scikit-learn with Python
hyper-parameter tuning and cross-validuation
Interpreting the outputs and findings of the models, and communicating these results to colleagues and stakeholders
Supervised learning and time series forecasting
Unsupervised learning for data exploration and clustering/segmentation analysis
Desirable, but not essential
Experience of writing APIs: eg Flask/FastAPI
Experience with dashboard development: eg Plotly Dash
Experience with Big Data processing in Spark/PySpark
Experience with other languages used in data management - Java/Scala
Experience with deep learning frameworks: Tensorflow/PyTorch/FastAI
Experience with deploying model pipelines into a production environment
Experience with model lifecycle management: eg mlflow (or alternatives)
Why Currencycloud?
We are a remote-first company; whichever location you’re contracted to, we leave it up to you and your manager to agree on how often you come into the office. To make things easier we offer an allowance so you can create your own working space at home because we REALLY mean it when we say remote first.
Your health and well-being are of paramount importance to us, and so our jampacked employee benefits reflect this!
We offer a competitive salary, an individual learning and development budget, a pension or 401K contribution, mental health days and comprehensive health care that includes annual optical and dental allowances, access to mental health support and a monthly allowance that you can spend on anything health or wellness related!
At the moment we are unable to consider applicants living outside of our entities and we are unable to provide visa sponsorship.
We aren’t currently looking for additional Recruiter support on this role and won’t be accepting any unsolicited CVs
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Data Scientist Marketing Agency Temp | Siriusxm |
Description
SiriusXM and Pandora have joined together to create the leading audio entertainment company in the U.S. Together, we are uniquely positioned to lead a new era of audio entertainment by delivering the most compelling subscription and ad-supported audio experiences to millions of listeners -- in the car, at home and on the go. Our talent, content, technology and innovation continue to be at the forefront, and we want you to be a part of it! Check out our current openings below and at http://www.siriusxm.com/careers.
Position Summary:
We are looking for a Data Scientist to join our Data Science & Advanced Analytics team in SiriusXM Marketing. We seek an individual with strong data management, data engineering and statistical skills. In this role, you will work closely with the data science team and our IT and business stakeholders to build predictive models to increase subscription revenue and improve customer experience, create centralized machine learning tools, evaluate data quality, and create and maintain dashboards.
Duties and Responsibilities:
Design and develop machine learning models to increase subscription revenue and improve customer experience.Work closely with engineers to deploy models in production and systematically track model performance, including creating and monitoring the dashboards.Evaluation new data sources. Perform data exploration and analysis to determine coverage of new data, to evaluate correlation to Sirius XM key business metrics, to determine the importance of various variables and provide recommendations on whether the data source provides incremental value to Sirius XM. Assist in engagements with key business stakeholders in discussions on business strategies and opportunities.Prepare and present executive summaries of findings and detailed working team communications, with responsive iterations on such presentations based on individual data visualization preferences.
Supervisory Responsibilities:
None
Minimum Qualifications:
Bachelor's degree with 3+ years analyzing and providing insights using data; or Master's degree in Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, Physics, or a related quantitative field.3+ years building machine learning and statistical models for supervised and unsupervised learning, understanding of underlying algorithms, ability to tune and analyze algorithms and extract actionable insights. These methods include (but are not limited to) regression analysis, clustering, outlier detection, decision trees, collaborative filtering, nearest neighbors and ensemble methods
Requirements and General Skills:
Ability to work in a dynamic, cross-functional environment, especially within IT/BI and MarketingExcellent verbal and written communication skillsAdept ability to explain complex data products in simple termsAbility to work independently and in a team environment.Strong organizational skills and attention to detailsMust have legal right to work in the U.S.
Technical Skills:
Exceptional programming skills in Python and/or RStrong knowledge of databases and related languages/tools such as Teradata SQLExperience with cloud technologies, especially AWS services (e.g. S3, Redshift, SageMaker)Knowledge of deep learning packages (Keras, Tensorflow, etc.) is a plusExperience in Natural Language Processing (NLP) is a plusThorough knowledge of MS-Office Suite (Word, Excel, PowerPoint, Access)
More details about our company benefits can be found https://jobs.jobvite.com/siriusxm/p/cultureanddiversity!
Our goal at SiriusXM+Pandora is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM+Pandora is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.
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Senior Research Scientist Machine Learning And Image Analysis | Heartflow |
This position is for a senior scientist working in HeartFlow’s Image Analysis team whose primary responsibility will be to research, design, develop, test and deploy cutting-edge machine learning algorithms for image analysis using large amounts of annotated volumetric medical images. The scientist will tackle exciting problems that can include topics such as uncertainty modeling, multi-object segmentation, object recognition, image registration, prognostic modeling, image quality assessment, and multi-modal image analysis.
Job Responsibilities:
Solving cutting-edge scientific and technical challenges related to doing machine learning (deep learning) with a large amount of volumetric images.
Designing and developing image analysis algorithms and machine learning methods specifically for HeartFlow’s workflow with expert analysts in the loop.
Author top-tier journal and conference papers on your research at HeartFlow.
Intellectual ownership and specific lead responsibility related to the design, development, testing and delivery of integration of the machine learning and image analysis algorithms into the HeartFlow production workflow.
Design, development, integration, testing and maintenance of specific service and monitoring interfaces and functionality for all components associated with the image processing algorithms and integration.
Adherence to and active participation in the continuous development and improvement of all software quality policies and processes.
Keeping up-to-date with the state-of-the-art by attending academic conferences and reading industry journals.
Publish and disseminate findings by publishing articles and presenting at conferences.
You have experience in the following:
Machine learning (deep learning)
Python (advanced programming)
C++ (knowledgeable)
Computer vision, image analysis
You are passionate about:
Solving prime medical problems with state-of-the-art technology
Revolutionizing the way cardiovascular disease is diagnosed and treated
Being a great engineer: 1) Familiarity with modern software development tools (bug tracking systems, source code revision control, automated testing) 2)Writing clean, modular, bug-free code 3) Algorithm development and computational complexity
You want to learn about:
Working in a regulated medical company
Cardiovascular disease
Computational fluid mechanics
Building efficient interactive software tools
High-performance and scalable computing
Cloud computing
Educational Requirements & Work Experience:
PhD in Computer Science, Math or related field with a focus on Machine Learning and Image Analysis is a must
A minimum of 2-4 years post-PhD work experience
Publication record in high-impact computer vision and/or machine learning journals or conferences
HeartFlow’s Image Analysis team develops the cloud processing technologies that automatically analyze cardiac CTA scans. The team also develops the interactive algorithms in the workstation that an in-house team of experts use to review and correct the processed data. Because HeartFlow stores all the received CTA scans together with the reviewed and corrected annotations it has access to an unprecedented amount of annotated medical image data. This allows HeartFlow’s Image Analysis team to develop ground-breaking Machine Learning technology to further improve the HeartFlow Analysis and explore exciting new products.
About HeartFlow, Inc.
HeartFlow, Inc. is a medical technology company redefining the way heart disease is diagnosed and treated. Our non-invasive HeartFlow FFRct Analysis leverages deep learning to create a personalized 3D model of the heart. By using this model, clinicians can better evaluate the impact a blockage has on blood flow and determine the best treatment for patients. Our technology is reflective of our Silicon Valley roots and incorporates decades of scientific evidence with the latest advances in artificial intelligence. The HeartFLow FFRct Analysis is commercially available in the United State, Canada, Europe and Japan. For more information, visit www.heartflow.com.
HeartFlow, Inc. is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at HeartFlow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for HeartFlow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
US Locations Only: All employees and contingent workers (contractor, consultant, interns or temporary personnel) are required to be vaccinated against SARS-CoV-2 and any booster as recommended by CDC, unless a reasonable accommodation is approved. All prospective hires will be expected to provide proof of vaccination on their first day of employment.
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Lead Data Scientist | Phrasee |
We’re Phrasee and we help brands say it better. An AI-powered SaaS platform that revolutionises customer experiences through Brand Language Optimization, Phrasee helps visionary enterprises enhance and personalise their customer experiences by optimising the language they use across the full customer journey and spectrum of digital brand channels.
All brand communications are predicated on one thing: language. In spite of its central role to marketing success, it remains looked upon as a Dark Art – exempt from the scientific rigor applied across the rest of the marketing funnel. Phrasee set out to accomplish the impossible: putting science (and sentiment) behind words. We are rewriting the digital marketing playbook one optimised word at a time.
Our effortless (borderline magical) platform is proven to boost customer engagement and increase lifetime value for the world’s leading brands, including Dixons Carphone, Domino’s, eBay, FARFETCH, Virgin Atlantic and Walgreens. We absolutely obsess about our customers' success so they can say it better.
At Phrasee you get to work with a super smart and caring team, who make BIG ideas a reality while having a lot of fun. Our growth plans are fast and global and we want YOU to be a part of our story.
Our team:
We are a small, agile and highly motivated product development team. We have collaborative and flexible working environment, and we love getting stuff done. As a Lead Data Scientist, you will work alongside our world class product and engineering teams to lead research and development of differentiating AI/ML solutions that will enhance our product.
Our platform:
Phrasee is a SaaS platform that uses proprietary NLG and Deep Learning to generate and optimize language for use in marketing communications.
Phrasee is built with Open API’s designed to make it easy for third party technology platforms such as Email Service Provides, to integrate our technology to their workflow.
What you'll be doing:
Reporting to the Chief Scientist, you will be working in an agile team, to research, design and build market leading AI/ML solutions that make a material impact to our business and customer experience.
You will lead a small team of Data Scientists and Analytical Linguists to provide them the leadership and guidance they require to be successful.
Look to proactively identify and solve business challenges with advanced data science and analytics tools.
Make significant contributions to Phrasee's core Intellectual Property.
Coordinate with product and engineering to translate R&D prototypes into production-ready systems.
Develop workflows and processes to streamline Phrasee's research and development lifecycles.
You’re a Data Scientist who:
Loves numerical data, so naturally keeps on top of all the latest academic and industry developments in Data Science, Machine Learning, and AI.
Has a product mindset so that all research is based on solving real customer problems.
Has the drive to come in and make an impact, by taking ownership of this new role in a rapidly growing start-up environment .
Can adapt quickly, and calmly, to changing priorities.
You have a range of technical skills including:
Hold a Masters or PhD (or equivalent practical experience) in a highly numerical discipline such as maths, physics, statistics or computer science.
5+ years of working in a commercial R&D setting.
Have a strong working knowledge of fundamental statistics.
Experience with Python – pandas, jupyter and the broader scientific python ecosystem.
Ability to apply abstract mathematical concepts to noisy real-world data.
Communicate effectively with people across the business who have a variety of backgrounds.
Bonus points for knowledge of Computational linguistics, Machine Learning DevOps and Data visualization.
What we’re offering:
We strive to create a fun, friendly, and comfortable working environment.
We believe a good work-life balance is essential.
We're in this business for the long haul. We give our team time to think and to do things right.
Our team is a democracy. Everybody has a voice in how things are done.
We offer a competitive salary and benefits, but most importantly, a chance to work for a young, scale up company with and AWESOME team and culture, and a cutting-edge product that actually shows the value of AI!
This role is remote, with a base in the UK required.
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Data Scientist Healthcare And Genomics | Color |
Named by Rock Health as the Best Digital Health Company to Work For, Color is a leading healthcare technology company. Color is building and delivering technology-enabled healthcare to millions of people. Through partnerships with public and private partners including governments, employers and health systems, Color’s infrastructure and software enables large populations to receive essential healthcare services directly where they live or work. This includes testing and telehealth services for preventive health and infectious disease management.
Since March 2020, Color has mobilized to address the pandemic by leveraging its platform to scale COVID-19 testing programs around the country. Color’s platform is used by more than 100 major employers, universities and public health institutions, such as the City of San Francisco, the State of California and PerkinElmer, community-based efforts in Oakland, and others, to deliver critical health programs. For more information about Color and its response to COVID-19, visit www.color.com.
By investing in the technology that ensures easy and affordable access to healthcare, Color is creating the infrastructure that will serve us for decades to come. Apply to join Color and do some of the most important work of your career. If you are not sure that you're 100% qualified, but are up for the challenge - we want you to apply!
The Data Science team at Color is tasked with turning our large, growing corpus of data into actionable insights, using the most advanced methods available, to help individuals improve their health. Members of the data team have diverse backgrounds in bioinformatics, population genetics, data science, data and business analytics as well as engineering. We enjoy working with other teams throughout the stack, including the early data exploration phase, scientific discovery, rigorous implementation, publications and eventually product integration and follow up.
Learn more about some of the recent work we’ve done below, through the publication section of the Color website, and on our blog.
How You’ll Contribute:
Develop data-driven insights to guide our product roadmap and reach a broader market
Apply state-of-art methods in health research to improve our assay and offerings
Help individuals around the world utilize the technology you helped build
Our Ideal Candidate Will Have:
You’re passionate about using data science tools to help save lives and improve health in individuals who are more susceptible to certain diseases.
You're well-versed in the tools of the modern computational biology, including coding proficiently in Python, SQL and the statistical models used to develop new insights or predictions
You have deep knowledge of data-driven research in healthcare in either genomics, epidemiology, or health outcomes
You have the ability to plan and execute rigorous statistical analysis on population scale health data sets
You have a MS or PhD in a quantitative or computational field and a track record of producing high quality research
You have at least 3 years of experience working with healthcare data
You have a track record of translating scientific results into new products and can effectively collaborate with others
You have and value strong communication and presentation skills and can confidently present your findings to technical and non-technical audiences
Nice to Have:
3 or more years of experience working in the biotechnology or healthcare industry
Advanced proficiency in large scale data discovering, wrangling, analysis and interpretation
Recent projects the team worked on:
Developed novel imputation approaches from low-coverage whole-genome sequencing (collected locally, in our state-of-the-art NGS lab)
In collaboration with Dr. Amit Khera from Broad Institute, We developed polygenic risk scores for coronary artery disease (CAD) to estimate an individual's genetic liability for this disease. You can find out more in here
Demonstrated the contributions of mild and asymptomatic individuals to the spread of the SARS-CoV-2 virus
Deployed machine learning models throughout multiple components of Color’s stack, including variant calling and classification;
In collaboration with epidemiological modeling experts Dr. Carl Bergstrom and Dr. Ryan McGee from the University of Washington, we developed models of SARS-CoV-2 viral spread in small populations that help to inform proactive testing strategies that help keep people safe as they return to work or school. You can find out more in here
#LI-MY1
#LI-CRE
Color is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Color prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Color conforms to the spirit as well as to the letter of all applicable laws and regulations.
COVID-19 Vaccination Requirement: Color requires anyone working onsite or visiting Color’s offices to confirm they are fully vaccinated against COVID-19 unless a medical or religious accommodation is timely requested and approved. Please reach out if you have questions or concerns about this policy and how it may apply to your candidacy for a role with Color.
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Data Scientist | Prosper |
About Us
Since 2005, Prosper has helped advance financial well-being for our users! With over 1 million users gaining access to $19 billion in loans, Prosper is the first peer-to-peer marketplace lender in US. It is built on a simple idea: connect people who want to borrow money with those who have money to invest. We are believers of advancing financial well-being and are passionate about offering our customers a portfolio of products from HELOC to Personal Loans and Credit Card. Our diverse culture rewards accountability and cross functional teamwork because we believe that this this enables the kind of innovative thinking that will accelerate our mission.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission and core values. Join a leading fintech company that’s democratizing finance for all!
Our Values
Accountability at all levels drives results
Collaboration creates better solutions
Excellence leads to longevity
Diversity fuels our innovation
Simplicity guides our user experience
Integrity defines all our relationships
www.prosper.com
Our Story & Team // Our Blog
The Role
We are seeking a Data Scientist within the Product and Conversion Analytics Organization focusing on user behavior, customer retention, innovation and new product development. The successful candidate is an immersive data scientist with a passion for seeking truth and driving Prosper's growth and engagement strategy. You must be able to work both independently and in a collaborative environment with acute attention to detail.
Problems You Will Solve
Drive a data science pipeline to explore unchartered areas both with existing and new data sets; a concept critical to our future success as a company.
Partner with Product Managers to create, develop and integrate model development into the product roadmap trajectory.
Present findings, implementations and documentation to Prosper’s analytics community and to the company as a whole.
Keen focus on the company objectives: integrate closely with business units to develop analysis and predictive modeling to drive critical organizational decisions and developments.
Build and refine data structure from the ground up with a Data Engineering Team.
Actively participate in industry events on data science, analytics or modern computing techniques.
About You
Bachelor’s degree in computer science, statistics or mathematics
Masters or advanced degree / coursework preferred but not required
2+ years’ experience in a data analytics, predictive analytics or data science role.
Expert level knowledge of any two of SQL / Python / R or other mathematical programming languages.
Proven experience with feature engineering, statistical modeling techniques and/or ML techniques.
Demonstrated experience working with new and unstructured data sets.
Ability to present data cross functionally to a wide range of stakeholders, both internally and externally.
Ability to work in a fast paced, ever changing, start-up environment
Ability to drive solutions to complex problems quickly and successfully, both individually and as part of a team effort.
What We Offer
The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
The opportunity to work in a fast-paced environment with experienced industry leaders
Flexible time off, comprehensive health coverage, competitive salary, 401(k) employer match, paid parental leave
Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts
A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot
The ability to work remotely in the United States
Prosper is continuing to grow our team during the COVID-19 pandemic, conducting fully remote hiring and onboarding processes. Our philosophy as a business is to approach the Covid-19 situation with empathy and urgency. Prosper’s top priority is the health and safety of our employees and of the communities we serve, including our customers, partners, prospects, and candidates.
Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA: https://www.prosper.com/plp/legal/privacy-notice-for-applicants/
At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.
Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.
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Senior Computer Vision And Machine Learning Researcher Europe | Pex |
Pex is a fully distributed company, democratizing digital rights for everyone.
We are the team behind the Attribution Engine, a licensing infrastructure for the Internet enabling fair compensation and increased access to content. With its advanced identification technology, Attribution Engine ensures compliance and safety for platforms, gives rightsholders total control of their content, increases access and confidence for creators, helps law enforcement prevent toxic content, and provides brand safety for advertisers.
As the Senior Computer Vision and Machine Learning Researcher, you will play a key role in the development of our image search technology. You will join a fully remote team that values transparency and clear communication in an environment where all team members are supported to take initiative, experiment, learn from their mistakes, and share opinions freely. If you enjoy big data processing and are looking for an opportunity to research and develop computer vision algorithms and techniques, apply today!
The Team:
Our R&D team is a fully remote, cross-functional team made up of talented researchers and engineers from various backgrounds who are always keen to learn about new technologies and state-of-the-art algorithms.
The Role:
As the Senior Computer Vision and Machine Learning Researcher, you will:
• Be responsible for testing new ideas and algorithms for image search
• Make existing image search algorithms more precise and faster
• Take ownership of image search algorithms research in a highly collaborative applied research environment
• Be able to introduce innovations that can lead to product features or new areas of business
• Take responsibility for communicating with different engineers across Pex to continuously improve and optimize implemented algorithms
You:
We have a lot of people who did not follow the traditional career path. We value people who are curious and collaborative and bring their unique perspectives to work each day. While we’re excited to learn what you can bring to the team, there are a few key things you’ll need that are essential to success in this role:
• Strong knowledge of Computer Vision, ability to innovate, research, test, and assess Computer Vision and Image Retrieval algorithms
• Comprehensive understanding of Machine Learning fundamentals
• Demonstrated expertise in developing Deep Learning or Computer Vision algorithms
• Proven experience with Image Processing (such as image segmentation, feature detection, and object detection)
• Excellent programming skills in Python, C++, or equivalent
• Experience with libraries such as OpenCV, PyTorch, or TensorFlow
• Ability to grasp new concepts quickly
• Former industry experience or published papers in academia
Perks and Benefits:
• Salary: $100.000 - $110.000 USD
• Equity, with perks like a 10-year exercise window
• The day off on your birthday
• 30 days of paid time off + 9 paid holidays
• 12 weeks of paid parental leave (+4 weeks for birth parent)
• A fully remote working environment
• A supportive culture that cares about both excellent work and work-life balance
Pex is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.
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Lead Data Scientist | Extend |
About Extend:
Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. After a $260M Series C financing round, we are ready to continue to scale our organization and grow beyond our $1.6B valuation.
Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters.
We are a venture-backed startup based in downtown San Francisco (and since COVID began, fully remote) that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry.
About the Role:
In the Senior Data Scientist role at Extend, you will drive to advance the Machine Learning practice by working closely with the data, operations, product, and engineering teams, while tapping into the depths of your quantitative and technical expertise. This role will report to the Head of ML.
What You'll Be Doing:
Execute on the ML road map based on the business priorities. Collaborate with stakeholders across the organization.
Create platform analytics to measure and optimize product operations, risk, pricing, and more.
Manage timely completion of projects from start to finish, per project OKR’s and milestones.
Partner with cross-functional teams such as data engineering, solution engineering to implement a world-class machine learning infrastructure and production environment. Ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes.
Build ML models that outperform state-of-the-art for the domain. Lead and execute the processing and integration of disparate traditional and non-traditional data.
Create new analyses, models, and/or tools that deliver insights that enable scalable growth, improve client experience, operational efficiency and profitability, across operations, finance, revenue operations, and other internal teams.
Help mentor junior data scientists and scale the team. Lead cross-functional teams.
What We're Looking For:
4-6 years of work experience in data science, AI / ML, with fast-growth startups, or top consulting background. Experience in fintech, retail, insurance, or digital products preferred.
A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative.
PhD in Statistics, Data Science, Econometrics, Computer Science, Operations Research, or related quantitative degree is preferred.
Expert command of Artificial Intelligence and Machine Learning, statistical modeling, state-of-the-art tools, and engineering best practices.
Expert knowledge of data mining techniques and tools with Python, R, SQL, etc. is required. Cloud, Unix, Javascript experience is a plus.
Expert proficiency interrogating relational data bases with SQL and with using, managing workload with distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.). Experience processing and modeling with unstructured data.
Proven track record of delivering multiple data science projects spanning scoping, development, testing, implementation, and management. Contributing to and delivering strategic technology that provides long-term competitive advantage.
Experience in project management, with a proven track record of on-time and within-budget delivery.
Ability to communicate across the organization, especially to teams with less data & analytics experience.
Empathy and humility.
Life at Extend:
Working with a great team from diverse backgrounds in a collaborative and supportive environment.
Competitive salary based on experience, with full medical and dental & vision benefits.
Stock in an early-stage startup growing quickly.
Unlimited vacation policy.
401(k) with Financial Guidance from Morgan Stanley.
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Data Scientist Revenue Analytics | Extend |
About Extend
Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. After a $260M Series C financing round, we are ready to continue to scale our organization and grow beyond our $1.6B valuation.
Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters.
We are a venture-backed startup based in downtown San Francisco (and since COVID began, fully remote) that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry.
What You Will Be Doing:
Collaborate with stakeholders across the organizations to establish the highest business priorities and opportunities by measuring expected reach and impact for operations focused teams
Work with our Risk & Insurance team to build deep-dive analytics to help drive step-change improvements in efficiency (beyond day-to-day workforce management)
Analyze and recommend pricing strategies for the Sales and Merchant Success teams to drive client acquisition and optimization
Create platform analytics to confirm product operation is as expected and develop new processes to optimize warranty mapping operations
Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across the Extend platform, and support teams throughout Extend by delivering analyses and process improvements to help the business continue to scale
Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes
Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies
What We Are Looking For:
A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative
2-4 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service
Experience with SQL and Python, R or Julia, experience with Machine Learning and/or forecasting is a plus
Experience in the retail or fintech landscape is a plus
Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential
Ability to communicate and collaborate across the organization, especially to teams with less data & analytics experience
Biased towards action and not afraid to make mistakes
Empathy and humility
Life At Extend:
Working with a great team from diverse backgrounds in a collaborative and supportive environment.
Competitive salary based on experience, with full medical and dental & vision benefits.
Stock in an early-stage startup growing quickly.
Unlimited vacation policy.
401(k) with Financial Guidance from Morgan Stanley.
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Data Scientist | Taskrabbit |
TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.
TaskRabbit is a remote-first company with employees distributed across the USA!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020
About the Job
Data and analytics are the lifeblood of TaskRabbit and we are building a data science team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning and Data Engineering. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a data scientist focusing on growth, you will work closely with a cross functional team of product managers, marketing managers, designers, and engineers. You will apply various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties. You will assist defining metrics and KPIs, design experiments to validate hypotheses and translate data into insights that would improve product, marketing and operational metrics.
As part of the Data Group, you will collaborate with other Data Scientists, drawing on their technical skills and expertise. Also, you will work with Data Engineers to ensure that the data platform and infrastructure provides you with the data and tools you need to do your job.
Join us in creating a better everyday life for everyday people.
Responsibilities:
Understand the business goals, ask right questions, define metrics, analyze patterns and trends, extract key findings, evaluate feasibility with available data, develop solutions, and communicate the results back to business
Identify growth opportunities based on data and provide well organized analysis for open ended questions
Evaluate the impact of new features, conduct controlled experiments and provide advanced data analysis using statistical modeling techniques such as regression, classification, time series modeling, causal inference and clustering.
Help stakeholders make better business decisions with insights and actionable recommendations
Become a subject-matter expert on marketplace and supply/demand dynamics
Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.
BS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years experience in a data science role or equivalent
Strong experience with SQL
Knowledgeable in Python programming
Experience in solving business real world business problems with predictive and statistical learning methods
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, sampling
Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences
Experience with CDP, DBT, Looker, Tableau, or similar tool is a plus
Bonus Points
Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen.
We're looking for people that have a passion for data, technology and problem solving
You're familiar with our product and have some ideas on things you'd want to add or change!
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
You’ll love working here because:
TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse
The Values.
Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.
Lead The Future Together. We value entrepreneurship and are inspire by action.
The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.
The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching, generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office.
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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Manager Of Data Science | Bestow |
ABOUT US
Bestow is the leading digital platform for life insurance. As both a direct-to-consumer destination and an infrastructure provider, Bestow is on a mission to make life insurance accessible to millions of underserved families.
We ideate fast, embrace change, and take risks. As a rapidly growing tech startup, we look for the best talent out there and try to stay out of their way. From scaling our business model to expanding our offerings, the day-to-day at Bestow offers endless professional growth opportunities. The people who succeed here look for problems and solutions. They are both passionate about their ideas and open to having their mind changed.
In the end, we value the same things our customers do: family. So we strive for work-life balance and believe happy employees make for better experiences and happier customers. It’s a model that helped us land the #2 spot on Forbes’ Best Startup Employers 2021 list. Boom!
Bestow is seeking a Manager of Data Science for our growing organization to lead our Data Science team. As a manager, you will be responsible for three key areas:
-First and most important is the engagement and development of the individual contributors on your team. You will ensure that they are set up for success and allowed to grow as individuals and in their careers.
-Second, you will ensure your teams are staffed and organized to deliver quality data products predictably. You will help set business context and frame the purpose for your teams’ work.
-Finally, as a member of the engineering management team, you will identify and lead initiatives across the engineering organization.
Learn More About Us
Why AI makes life insurance decisions at this company
Bestow to Acquires Centurion Life Insurance Company
Bestow Lands $70M Series C To Expand Life Insurance Product
Open to Austin, TX, Dallas, TX or Remote (US) #LI-Remote
Your Day to Day
Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes.
Passionate about solving technical challenges, organizing teams to deliver, and running an efficient process for produce high-quality, high confidence deliverables.
Enjoy managing the team with multiple projects and balancing various needs and priorities.
Develop the data science roadmap for your team with input from underwriters, engineering, and product management
You are passionate about building and mentoring high-performing engineering teams.
Be an internal advocate for data science and look for opportunities where the application of data science and ML can be demonstrably advantageous or solves existing and new challenges.
Self-motivated and capable of working through ambiguity
Measure the impact of your team and set clear expectations and goals.
Recruit and grow your teams with high-performing engineering talent that complements our engineering values; helps make Bestow a world-class engineering brand.
About You
3+ years of engineering management experience, including as an indirect manager
6+ years of data science experience
Bachelor’s degree in computer science, engineering, or equivalent self-study
You have a proven track record of leading high-performing teams, attracting and developing technical talent.
Well-versed in modern SDLC methodologies such as Scrum and Kanban and aligned to the agile principles.
You have excellent written and verbal communication skills and the ability to communicate across all levels of the organization to technical and non-technical audiences.
Experience managing geographically distributed teams
Actively communicate roadblocks or significant delays in estimated delivery.
Familiar with a variety of data science, machine learning, and artificial intelligence technologies
History of success in delivering technology change, project execution, and delivery
Exceptional troubleshooting skills and the ability to quickly assess complex technical issues
Experienced with start-ups and maturing solutions for customer growth
US Citizen or Permanent Resident (Bestow does not sponsor applicants for work visas at this time)
Total Rewards
Competitive salary, bonus & stock options
Open PTO plan
100% paid premiums for medical, dental, and vision insurance
Annual bonus based on individual and company performance
Generous equity grant based on level
Flexible work-from-home policy and open to remote
We value diversity at Bestow. We hire, recruit, and promote without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every member of our team.
Bestow does not sponsor applicants for work visas at this time.
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Data Science Fellow Voice Video Analytics | Mercury Data Science |
Company Description
Our focus is to help Biotech/BioPharma, MedTech, Digital Health, Healthcare, Insurance, and Tech organizations accelerate innovation, enable data-driven decisions, and create AI/ML applications. We leverage AI to solve today’s hardest challenges. We are driven to make the world a better place by providing consulting services and building applications to improve outcomes and help our clients stay ahead of the competition.
Our team is composed of creative and results-focused individuals who excel at solving real-world problems. Our diverse backgrounds bring technology and expertise from various disciplines including neuroscience, physics, engineering, computational biology, genomics, mathematics, and computer science.
Our culture is vibrant, connected, rooted in our core values statement that:Our work matters. Our clients are partners. Our work is our reputation. We own our choices. We are always learning. We support and challenge each other.
This position is part-time and may convert to a permanent position for the right candidate.
Job Description
MDS is seeking a data science fellow to contribute to the development, validation, and bias mitigation of models of human behavior and physiology. The primary sources of data for this project will be video and audio/voice.
This role is ideal for a results-focused individual who excels at solving problems at the cutting edge of data science with strong technical abilities to take on challenges in data mining, machine learning, data extraction/analysis, and algorithm development. Background in bioinformatics, neuroscience, human behavior analysis, signal processing, cloud computing, video analytics, or voice anatomy and physiology is a plus, but not essential.
Strong candidates will have skills combining and applying techniques spanning computer vision, speech analysis, and machine learning for time-series data to problems in healthcare and life sciences. We also value individuals who are self-motivated, good communicators, and passionate about learning and keeping up with the latest trends emerging in the data science space.
Read more about our VIVO platform (https://www.mercuryds.com/platform/vivo) that accelerates AI solutions in video and voice analytics for behavior and emotion analysis, telemedicine, and clinical trial biomarkers.
Responsibilities
Explore data to generate hypotheses, research similar problems for ideas, brainstorm with teammates to strategize potential solutions, test their feasibility, and contribute to their developmentPrepare for a data science career with guidance from professionals with a wide variety of backgrounds
Qualifications
Currently pursuing a Masters, PhD, or a Postdoctoral researcher in Computer Science, Math, Statistics, Physics, Computational Biology, Biomedical Informatics, or a closely related fieldPassion for solving complex data science challengesMachine Learning and Python experienceComfortable working in a fast-paced, collaborative team environment
Additional Information
Valuable Skills/Experience
Background in neuroscience, human behavior, healthcare, signal/image processing, and voice and video analyticsExperience analyzing and modeling time series dataExpertise in designing and implementing efficient algorithmsFamiliarity with Deep Learning Neural Network building with frameworks such as Tensorflow or PyTorchExperience working in a UNIX (Linux) environment
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Data Science Fellow Nlp | Mercury Data Science |
Company Description
Our focus is to help Biotech/BioPharma, MedTech, Digital Health, Healthcare, Insurance, and Tech organizations accelerate innovation, enable data-driven decisions, and create AI/ML applications. We leverage AI to solve today’s hardest challenges. We are driven to make the world a better place by providing consulting services and building applications to improve outcomes and help our clients stay ahead of the competition.
Our team is composed of creative and results-focused individuals who excel at solving real-world problems. Our diverse backgrounds bring technology and expertise from various disciplines including neuroscience, physics, engineering, computational biology, genomics, mathematics, and computer science.
Our culture is vibrant, connected, rooted in our core values statement that:Our work matters. Our clients are partners. Our work is our reputation. We own our choices. We are always learning. We support and challenge each other.
This position is part-time and may convert to a permanent position for the right candidate.
Job Description
MDS is seeking a data science fellow to contribute to the development and validation of Natural Language Processing (NLP) based approaches to accelerate the development of therapeutics and the discovery of biomarkers. The primary sources of data for this project will be biomedical literature.
This role is ideal for a results-focused individual who excels at solving problems at the cutting-edge of data science, with strong technical abilities to take on challenges in data mining, machine learning, data extraction/analysis, and algorithm development in life sciences and healthcare. This fellowship will be focused on the intersection of data science and NLP to extract meaningful insights from biomedical, scientific, and clinical text.
Strong candidates will be prepared to leverage techniques from NLP to address challenges in healthcare and life sciences. Strong candidates will have a deep understanding of how to extract entities and relationships from biomedical literature and biomedical data sets to accelerate drug and biomarker discovery and development. Experience in creating intuitive data visualizations is a plus. Background in bioinformatics, drug development, electronic medical records systems, or NLP is a plus, but not essential.
Read more about our ERGO platform (https://www.mercuryds.com/platform/ergo) that accelerates NLP solutions for science, medicine and technology.
This position is part-time and may convert to a permanent position for the right candidate.
Responsibilities
Explore data to generate hypotheses, research similar problems for ideas, brainstorm with teammates to strategize potential solutions, test their feasibility, and contribute to their developmentPrepare for a data science career with guidance from professionals with a wide variety of backgrounds
Qualifications
Currently pursuing a Masters, PhD, or a Postdoctoral researcher in Computer Science, Math, Statistics, Physics, Computational Biology, Biomedical Informatics, or a closely related fieldPassion for solving complex data science challenges in NLP focused on biomedical textMachine Learning and Python experienceComfortable working in a fast-paced, collaborative team environment
Additional Information
Background in bioinformatics, drug development, electronic medical records systems, or NLPExpertise in designing and implementing efficient algorithmsFamiliarity with large open source biomedical datasets and ontologies for drugs/chemicals, genes/proteins, diseases/conditions, etc.Familiarity with NLP software libraries/models including spaCy, scispaCy, BERT, GPT3
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Senior Data Scientist Product Analytics | Krisp |
About Krisp:
At Krisp, we are developing and launching applications that enhance professionalism and productivity of employees and contact center agents. Krisp mutes background noise bi-directionally during calls and is the only software available in the market to do so as an application, becoming a virtual microphone and speaker within Windows, Mac OS and VDI. We are out front leading this market, with partners and customers including Chase, Concentrix, Discord and many others. Our team is defining the future of how remote employees vastly improve their voice and video communications.
Krisp is an award winning product, loved throughout the world. In 2020, Krisp has been recognized as:
Forbes AI 50 most promising AI startupForbes Cloud 100 Rising StarTIME 100 Best InventionsGartner Cool Vendor
Location:
Europe, Remote
We are a remote-first company, so you can work from anywhere. For this role we prefer to have an overlap of at least 4 hours with GMT+4 timezone.
The Role:
As a Senior Data Scientist, you will work directly with our Data Analytics Manager as part of our growing analytics team. You will be working closely with the key stakeholders from product, growth, marketing and sales teams to unlock the next stage of Krisp's growth.
This is an exciting opportunity to further build the data science function at Krisp and cultivate a data-driven culture! You will have a direct influence in growth, product, marketing and strategy initiatives. If you are intellectually curious, a creative non-linear problem solver, passionate about building compelling dashboards, sophisticated statistical and predictive models and eager to influence decision making, we'd love to have you in the team!
What You'll Do:
Measure the impact of growth, product and marketing initiatives and identify growth and optimization opportunitiesGenerate insights about the user's journey aiming to optimize conversion rates, evaluate performance, and design and analyze experimentsPartner with cross-functional teams on data-informed hypotheses that will drive experiment design and analyze causal relationshipsDevelop a thorough understanding of traffic, funnels, conversion rates and user behavior using large events dataApply machine learning models for predictive analyticsDesign and develop metrics, and create insightful automated dashboardsWork with analytics engineers and data analysts to create new data models, feature and metrics stores and explore new data sources to add to our data warehouse.Initiate new and innovative approaches to make data products actionableSee beyond numbers and help to inform, influence, support, and execute business decisionsTake initiative to always ask why - question the questionable and the unquestionable to find answersProvide expertise on data science concepts for the analytics team and inspire the adoption of data science across many functions of the company.
What We’re Looking For:
A graduate of a quantitative discipline3+ years of relevant working experience in data science or analytics, preferably in a fast-paced companyStrong programming skills, preferably in Python(Data Science libraries) and SQLPractical experience of building compelling dashboards using BI tools (e.g. Tableau)Expertise in advanced analytical techniques, statistical analysis and predictive analytics using MLBusiness savvy and ability to think strategically and act judiciously to solve business problems through the use of dataHave an attention to detail and desire for end-to-end ownership of deliverablesSelf-motivated, proactive and autonomous; comfortable working in a fast-paced environmentCollaborative with a positive attitude and strong sense of empathyFluency in English
Nice to haves:
Experience with SaaS metricsExperience with PySparkExperience in analytics engineering with dbtKnowledge of version control and GitHub actionsFamiliarity with agile development framework.
Benefits at Krisp:
Stock optionsLearning and development assistanceHealth, dental and vision insurancePaid Time Off and Sick Time OffPaid Parental LeaveMaternity Leave Top-upGym reimbursementReferral bonus programWork from forest (Remote work initiatives)
Krisp is an Equal Opportunity Employer:
All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We do not tolerate discrimination or harassment of any kind. All employees and contractors of Krisp treat each other with respect and empathy.
How to Apply:
All interested candidates are encouraged to submit their applications.
Check out the rest of open positions.
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Data Scientist | U S Bank |
At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.Job DescriptionJob DescriptionResponsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data. Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.Basic Qualifications
Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
Four to six years of relevant experience
Preferred Skills/Experience
Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization
Understanding of machine learning techniques and algorithms
Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
Demonstrated project management skills
Effective interpersonal, verbal and written communication skills
Experience in dealing with consumer insights with marketing and product team would be a plus
Benefits: Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting usbank.com/careers.EEO is the LawApplicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.E-VerifyU.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
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Data Scientist Ii | Goguardian |
At GoGuardian, we’re helping share the future of digital learning by providing educators, students, and schools with tools to create engaging and equitable learning environments. Together, we build innovative solutions to empower students, deliver insights, and encourage experimentation. With employees around the globe, we’re committed to building a culture of inclusivity, curiosity, and courage. GoGuardian’s growth is fast and ever-evolving, and our teams are growing along with it — always ready to experiment and learn.
While this job posting uses "El Segundo, CA" as the location, please note this role is currently being recruited for remote work or reporting to headquarters if within commuting distance.
As a Data Scientist II at GoGuardian, you will join an innovative team collaborating with partners throughout the business to solve challenging problems. Your primary responsibility will be to optimize company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This is a high-impact role in a dynamic environment. You will help us set a standard for data-driven, scientific decision-making throughout the business.
What You'll Do
Collaborating across teams to understand complex business problems and implement lasting technical solutions
Building machine learning models and deploying them as production services at scale
Extracting and transforming data in a reliable, repeatable mannerEmpirically exploring novel data sets to separate signal from noise
Building tooling to support efforts such as unit testing, automated deployment testing, model performance tracking, etc.
Communicating methods and findings in written reports, presentations, and dashboards
Building the best data science team in Ed Tech (as a start...)
Who You Are
A Ph.D. in a quantitative field (science, math, statistics, engineering, etc.)
2+ years experience as a Data Scientist and a record of delivering impactful results
An outstanding ability to communicate complex findings in a clear and simple manner with excellent written and oral communication skills
Advanced skills in Python
Proven self-learner with the drive and talent to learn very quickly
Experience with git and cloud computing (AWS, GCP, or Azure)
Plenty of experience with traditional statistics and ML approaches
Experience extracting data from a variety of sources in a variety of formats
Knowledge of best practices in coding/scientific projects
Bonus if you have: Experience with Docker. NLP experience. Experience building interactive dashboards in python or R (shiny, dash, streamlit, etc.)
What We Offer
A varied and challenging role in a multinational and highly innovative company
A robust benefits package including health insurance, 401(k) retirement savings plan with company match, employee stock option plan, paid parental leave, 13 paid company holidays, and much more
Development and further training opportunities for shaping and realizing your career goals
Exceptional colleagues with a passion for EdTech
GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.
#LI-Remote
#BI-remote
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Data Scientist I | Goguardian |
At GoGuardian, we’re helping share the future of digital learning by providing educators, students, and schools with tools to create engaging and equitable learning environments. Together, we build innovative solutions to empower students, deliver insights, and encourage experimentation. With employees around the globe, we’re committed to building a culture of inclusivity, curiosity, and courage. GoGuardian’s growth is fast and ever-evolving, and our teams are growing along with it — always ready to experiment and learn.
While this job posting uses "El Segundo, CA" as the location, please note this role is currently being recruited for remote work or reporting to headquarters if within commuting distance.
As a Data Scientist I at GoGuardian, you will join an innovative team collaborating with partners throughout the business to solve challenging problems. Your primary responsibility will be to optimize company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This is a high-impact role in a dynamic environment. You will help us set a standard for data-driven, scientific decision making throughout the business.
What You'll Do
Collaborate across teams to implement data science and machine learning solutions into our SaaS products
Continuously grow your skill set through project-based learning and collaboration with a talented DS team
Communicate methods and findings with stakeholders in written reports, presentations, and dashboards
Build machine learning models and learn to deploy them as production services at scale
Collaborate with talented data engineers to extract and transform data in a reliable, repeatable manner
Empirically exploring novel data sets to separate signal from noise
Contribute to technical improvements such as automated deployment, model performance tracking, etc.
Join the best data science team in Ed Tech (as a start...)
Who You Are
PhD or MS in a quantitative field (science, math, statistics, engineering, etc.)
Experience applying data science solutions to deliver impactful results in a job or internship
Excited about communicating complex findings in a clear and simple manner with excellent written and oral communication skills
Proven self-learner with the drive and talent to learn very quickly
Proficiency in python
Experience with git and cloud computing (AWS, GCP, or Azure)
Familiarity with traditional statistics and ML approaches
Familiarity with extracting data from a variety of sources in a variety of formats
Knowledge of best practices in coding/scientific projects
Bonus if you have: Demonstrated ability for self-directed learning and improvement. NLP experience. Experience building interactive dashboards in python or R (shiny, dash, streamlit, etc.)
What We Offer
A varied and challenging role in a multinational and highly innovative company
A robust benefits package including health insurance, 401(k) retirement savings plan with company match, employee stock option plan, paid parental leave, 13 paid company holidays, and much more
Development and further training opportunities for shaping and realizing your career goals
Exceptional colleagues with a passion for EdTech
GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.
#LI-Remote
#BI-remote
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Head Of Ecosystem Data Science | Coinbase |
Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
You will partner directly with ecosystem product leadership to define and execute data roadmaps, and build systems of intelligence empowering the team while bringing forward actionable and inspiring insights to spearhead critical operational and strategic decisions across all aspects of ecosystem at coinbase
We expect you to have a deep understanding of crypto domains and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Lead, mentor and grow a team of data scientists, data science managers and build strong partnerships with ecosystem product teams
Act as a strategic thought partner to product leadership and Coinbase executives; lead the team to execute on campaign measurements, brand awareness and other top product priorities
Partner closely with data and organization leadership to meet analytics needs and continuously improve our insight-creation capabilities, as a trusted and influential evangelist for data-guided decision making, while cultivating a culture of data at coinbase.
Drive long term product data strategies and planning
Leverage advanced analytics toolset to find opportunities, unpack drivers and develop hypotheses to inform action planning with partners
Act as the DRI for key ecosystem metrics and insights at Coinbase
Advocate for data guided decision and frameworks via empowerment of data usage across the product and data organization
Recruit and grow a premier data science and analytics team
Drive data team and organizational level initiatives to scale our insights through better systems and automation
Design communication structure and cadence with team members; Synthesize data takeaways (success or failures) into compelling narratives and communicate them throughout Coinbase
What we look for in you (ie. job requirements):
BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree. Masters or PhD is preferred
Passion for crypto and blockchain domains. Prior experience in crypto data is preferred
Strategic product orientation - product driven data leader who proactively understands user journey and insights in the ecosystem product domain at Coinbase, and consistently looking for HOW and WHY.
Deep knowledge of product analytics and data domains with proven track record of running a successful data science and analytics function
7+ years of experience as a hands-on leader of a data science/analytics team.
Experience in both internal and external storytelling and executive presentations.
Expertise with analytics tools, data visualization, sql, r, or python as applied to data science and analytics.
10+ years of experience providing business insights support for the executive team.
Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders.
Proven track record of strong leadership. Experience in leading large teams with 10+ team members
#LI-Remote
(P29078)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.
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Senior Engineering Manager Machine Learning Risk | Coinbase |
Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
As an Engineering Manager for Machine Learning Risk you will be building the critical infrastructure to protect Crypto users from fraud and enable participation of everyone in the open financial system. You will be tapping into a variety of large data sources such as the blockchain to provide millions of people access to crypto while detecting and preventing bad actors.
What you’ll be doing (ie. job duties):
Conceive and implement the roadmap of machine learned management of risk and fraud.
Build and launch excellent productionalized, low-maintenance models.
Build features and success metrics by disambiguating requirements.
Leverage state of the art machine learning techniques for a variety of problems across the company including fraud, feed ranking, recommendations and targeting, blockchain mining.
Setup A/B experiments and iterate until impact is landed.
What we look for in you (ie. job requirements):
3+yrs of Management and hiring experience in the space of Machine Learning
4+ yrs of industry experience as a machine learning engineer
Experience with at least one ML model: Logistic Regression, Gradient Boosting trees, Deep learning, etc.
Experience with data analysis, feature exploration, ETL, and visualization.
Experience in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.
Experience building backend systems at scale with a focus on data processing/machine learning/analytics.
Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
Nice to haves:
BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.
Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake.
Experience with Python.
Experience with model interpretability, responsible AI.
(P29262)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.
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Head Of Growth Data Science | Coinbase |
Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
You will partner directly with growth leadership to define and execute data roadmaps, and build systems of intelligence empowering the team while bringing forward actionable and inspiring insights to spearhead critical operational and strategic decisions across all aspects of growth at coinbase
We expect you to have a deep understanding of growth product and marketing domains such as acquisition, activation and retention tactics , and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Lead, mentor and grow a team of data scientists, data science managers and build strong partnerships with growth product and marketing teams
Act as a strategic thought partner to growth product leadership and Coinbase executives; lead the team to execute on acquisition, activation, and other top growth priorities
Partner closely with data and organization leadership to meet analytics needs and continuously improve our insight-creation capabilities, as a trusted and influential evangelist for data-guided decision making, while cultivating a culture of data at coinbase.
Drive long term growth data strategies and planning in growth accounting and forecast, machine learning, experimentation and data infrastructure
Expert knowledge in experimentation to find opportunities, unpack drivers and develop hypotheses to inform action planning with partners
Act as the DRI for key growth metrics and insights at Coinbase
Advocate for data guided decision and frameworks via empowerment of data usage across the growth organization
Recruit and grow a premier data science and analytics team
Drive data team and organizational level initiatives to scale our insights through better systems and automation
Design communication structure and cadence with team members; Synthesize data takeaways (success or failures) into compelling narratives and communicate them throughout Coinbase
What we look for in you (ie. job requirements):
BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree. Masters or PhD is preferred; Reforge program alumni is preferred
Deep knowledge of growth analytics and data domains with proven track record of running a successful growth data team
7+ years of experience as a hands-on leader of a data science/analytics team.
Experience in both internal and external storytelling and executive presentations.
Expertise with analytics tools, data visualization, sql, r, or python as applied to data science and analytics.
10+ years of experience providing business insights support for the executive team.
Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders.
Experience in leading large teams with 10+ team members
#LI-Remote
(P29079)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.
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Decision Science Analyst Lead | Usaa |
Purpose of Job
We are currently seeking a Decision Science Analyst Lead. This lead will work in a 100% remote (Work@Home) capacity.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.Organizes and oversees the development of requirements/resources necessary to meet established objectivesApplies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change.Translates recommendation into communication materials to effectively present to all levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). ).Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 years’ work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.8 years of experience in a decision support analytic function; Or Advanced degree in relevant discipline with 6 years’ experience in a decision support analytic function.3 years of direct and/or indirect management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Commercial lines insurance experience.Familiarity with third party data.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800.00 - $192,300*( this does not include geographic differential it may be applied based on your work location)
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is NOTavailable for this position.
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Staff Data Scientist Machine Learning | Shopify |
About the role
About the roleData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.We are currently looking for Staff Data Scientists to be part of our new visual attribute extraction technology called Deep Tagging.
Deep tagging is transforming the online shopping experience by enabling image and text-based product understanding, leveraging Computer Vision, Natural Language Processing and deep learning technologies that mimic the way customers think about products.As Staff Data Scientists on this team, you will get the opportunity to push products and business forward, focus on solving important problems and get to experience an opportunity to become an AI expert in the ML Computer Vision and the Deep Learning space.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
2+ years of experience in one or more of the following areas - CV, NLP, deep learning or artificial intelligence
You have a well-built technical experience that inspires individual contributors’ creativity and innovation.
You feel comfortable designing and training Deep Learning models for object detection in images/ image classification/ text classification
You have experience with product leadership and technical decision-making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level but are also able to contribute to long-term initiatives by mentoring your team
Multiple work streams excite you, you are able to use ambiguity as an opportunity for high-level thinking
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals
Great if you have:
Previous experience using Spark
Previous experience working with MLFlow
Previous experience using Ray
Experience with statistical methods like regression, GLMs or experiment design and analysis.
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Staff Data Scientist | Shopify |
About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors creativity and innovation.
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Senior Data Scientist | Espark Learning |
Overview
eSpark Learning puts fun and effective learning experiences in the hands of more than a million K-5 students around the USA, and can be found in 1-in-4 schools. After back to back years of 40+% revenue growth, we are looking to apply this success to our engineering organization and double our size in the next year so that we can further accelerate the growth of the business. In light of this, we are excited for senior data scientists to join the team who can have profound impact on the success of the company (as both contributors and leaders), and more fully realize their own potential by taking on responsibilities that align with their interests and passions.
The Role
As a Senior Data Scientist, you’ll join our engineering organization, reporting to the Director of Engineering, and help develop the practice and growth of data science across the company, in turn making the lives of teachers, students, principals, and other eSparkers better through your efforts. You’ll get your hands dirty with data to surface insights from our product, while also having the opportunity to help build out our data science function from the beginning, helping us define how we’ll conduct experiments, analyses, and other forms of quantitative research for years to come. We welcome candidates at the senior level or above, and will adapt title accordingly with experience.
There are three tenets all members of the team are expected to hold and embody:
We carry a growth mindset and drive our own development.
We believe that we do our best work when collaborating closely with others.
We care more deeply about the problems we’re solving than how they’re solved.
We believe that excitement to learn, a readiness to work together collaboratively, and good scientific and technical fundamentals are more important to success at eSpark than past experience with specific technologies or methodologies — we are always ready to pair and to train new staff on the methods we use. The applications our students and teachers use are built with Elm and Typescript on the frontend and Ruby on Rails on the backend (all covered by tests), running on top of Docker and with data stored in MySQL and Redshift. In contrast, our data science technology is nascent, and actively being defined by the growing data functions at eSpark, including you.
Responsibilities
Use all of our data to generate insights across our chain-link of three stakeholders:
For students: What behaviors are driving student learning? Why are certain learning resources more effective than others? What learning activities engage kids the most? The least? Are we serving all communities equitably?
For teachers: What makes a teacher try eSpark with her class? What makes her stick around? How do eSpark usage and referrals spread within a school?
For administrators: Which usage patterns in the classroom are predictive of a trial converting to a paid partnership? Do certain school attributes predict sales conversions?
Write software as needed to bridge the gap between the data we have and the data you need
Define and configure the tech stack for performant and reproducible analyses
Design and help build our experimentation platform
Support business goals by helping teachers find eSpark, sign up to use it in their classrooms, and advocate partnership to their administrators
Lead the experimental design around product and feature roll-outs
Participate in design and ideation around product and feature opportunities, using data to inform these decisions
Level up eSpark’s data science capabilities and knowledge across product, marketing, sales, and customer experience
Drive our understanding of the efficacy, equity, and fairness of our learning product for students of all backgrounds and circumstances
Participate in external research communities, and attend/publish work in academic and industry conferences like FaccT, COMPASS, WSDM, CIKM, KDD, AERA, NeurIPS, AIED, etc.
Benefits and Policies. In addition to a competitive salary and stock options, eSpark offers full healthcare coverage (including vision, dental, and mental health benefits), generous vacation and parental leave policies. We are a fully-distributed company (circa March 2020) and provide benefits around outfitting your home-office arrangement, including your choice of technical equipment. We believe in work-life balance and respect nights and weekends.
The Interviews
The eSpark engineering team’s approach to interviewing is built on transparency, as we believe that everyone has a better, more productive experience when expectations are clear. For this role, we are looking for candidates who meet three specific criteria:
Self-sufficient scientist – You can design and implement analytic and experimental methods to answer important business questions independently, while leveraging the team for support.
Competent software engineer – You can write the code you need to gather and analyze the data for scientific work and develop and implement towards a vision for how this work can be done in a repeatable, reliable way into the future.
Capable strategic partner – You are quick to comprehend business and product context, allowing you to contribute to what we’re doing and why, with the ability to recognize and fill in the gaps as needed.
To learn about these three areas, and you in a general sense, we conduct three one-hour interviews with various teammates from eSpark, from engineering and beyond. We also ask for three references, to complete a full picture of you as a candidate. Written feedback or evaluations are also acceptable substitutes. We also recognize that not everyone has enjoyed a complete history of healthy working environments, and we are keen to work with you to identify appropriate individuals who can speak to your strengths and areas for growth.
For more context on our interview process, please refer to this document on Data Science Interviews at eSpark – What to Expect.
About eSpark
Vision. Our vision is that every student, regardless of their circumstances or background, has the opportunity to set and realize an ambitious dream for themselves. Our mission is to re-imagine learning so it's student centered, enabling students to succeed in school and life.
Impact. Our work makes a significant difference in students' lives. Independent testing data from public school districts across the country consistently show that students learn more in areas of personalized study with eSpark. One researcher from MIT, who evaluated an eSpark in Boston Public Schools, wrote: “I find strong positive, significant effects of eSpark for both math and English Language Arts (ELA). So the eSpark intervention, which is just 30 minutes a day, led to almost half the effect of a full year in a high performing charter school. I view these as very impressive gains. The findings made a substantial dent into the black-white achievement gap.”
Diversity. At eSpark, we believe all people—adults and students alike—deserve respect for who they are. We work hard to make eSpark an environment in which everyone can thrive and succeed, supporting employees as individuals through people-centric management and as a company with our IDEA (Inclusion, Diversity, Equity, and Access) employee resource group. We believe it is critical that our team reflects the student populations we aim to serve.
Pandemic. The 2020-2021 school year has been a time of unprecedented challenges for teachers, students, parents, and schools.
We believe — and have seen in last spring and fall — that eSpark’s personalized curriculum, made of fun and educational games and videos and adapted to each student; our commitment to providing teachers the tools and live support they need to support both remote and in-person learning; and our engaged team focused together on supporting educators and learners, can be a powerful help to teachers and to the students most at risk of falling behind during the pandemic.
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Senior Data Scientist | Tradesy |
Tradesy is a peer-to-peer marketplace for buying and selling luxury fashion, enabling stylish customers to unlock the value in their closet to access affordable luxury. Our mission is to make fashion resale as simple, safe and stylish as retail — at scale. We have millions of passionate members, a product that people love, strong values centered around sustainability and equality, and a team culture that truly supports you — while giving you the freedom to work from wherever you are.
Tradesy is seeking an exceptionally talented Senior Data Scientist to be a part of a data-driven technology and fashion company. Our small team means you will have direct access all the way up to the C-suite and the freedom to tackle a wide variety of problems. In particular, our user-generated data gives search, information retrieval, and personalization all an added layer of complexity that you will be welcome to tackle with any tool in your toolbox.
Success in this role requires an individual who is self-directed and possesses the ability to own projects from idealization through to production. While we have support from our Engineering team, the fast paced experimentation in our world makes the ability to code at a production-ready level paramount. Solutions you develop will primarily leverage machine learning tools; however, descriptive analytics, A/B testing and data visualization also play a role in investigation and innovation. Additionally, our systems, warehouse and data pipelines live in Google Cloud -- experience in this ecosystem is an advantage.
This role reports directly to the Manager of the Data Science team.
You will:
Leverage the unique aspects of our business to increase both buyer and seller engagement through machine learning techniques including entity embeddings, learn-to-rank, personalization algorithms and more.
Work with marketing to determine the most effective media planning and buying, coupon and email strategies.
Partner closely with marketing to continue to optimize and improve our attribution and forecasting algorithms.
Use internal and external historical data to identify market trends, predict supply and demand, and optimize pricing.
Be responsible for the entire lifecycle of projects; from gathering stakeholder requirements, determining the appropriate modeling approach, putting the model into production, and working with Product or Marketing to iterate on the results.
Research and propose relevant mathematical and technical advancements to Data and Engineering team members to push the boundaries of our data science tech.
You have:
5-7+ years of work experience in a Data Scientist role.
A college degree in engineering, computer science, mathematics, economics, operations research, statistics, AI, ML, or a similar technical field; Masters and/or Ph.D. a plus
Solid understanding of, and extensive practical experience using a variety of supervised, unsupervised, and reinforcement machine learning algorithms.
Strong coding ability in Python and SQL, including common packages such as scikit-learn, Pandas and matplotlib. Experience with lower-level languages, Spark, or development work is a plus.
Extensive experience launching models into production and optimizing solutions towards clean and simple deployment
The ability to explain not only results, but process, to both technical and non-technical business partners. This includes well-designed presentations, clear documentation, and strong written and oral communication skills.
An excitement to help your teammates and coworkers; including an autonomous drive to stay up-to-date in the field and share applicable learnings to Tradesy at large.
We are:
An established company with startup energy. We’ve been in operation for over a decade and have over one million active items on the site at a given time. This presents a massive amount of truly unique data to get down and dirty in.
Dedicated to supporting our teammates’ careers. We believe in carving out your own path, at your own pace. There’s room at the top for all of us.
Committed to collaboration. Data Science is a true cross-functional partner here at Tradesy. Data science solutions are appreciated here and thus made a priority when planning developers’ sprints. You WILL see your work in action.
A remote-first work environment. At Tradesy, our employees are our biggest strength. The health, safety and well-being of our community is a top priority. Your work hours are flexible and yours to dictate; there’s no one looking over your virtual shoulder. We hold each other to high standards of work ethic and respect and expect that of anyone else we hire as well.
Compensation and benefits:
Competitive salary -Commensurate with skill set, experience and the position. What you made at your last job should not dictate your worth. Tradesy is committed to a basic living wage threshold and holds its own $50k minimum wage standard for entry level positions.
True opportunity for growth - we don’t believe in time served or waiting around for your manager to get promoted or leave. Carve out your own path, at your pace - there’s room at the top for all of us.
Comprehensive health benefits - several options for company paid medical, dental, prescription drug and vision plans. Tradesy pays 100% of the premiums for individuals - great discounts if you want to add spouse/children/families.
Wealth benefits - 401k option and equity (stock options) because every employee should be an owner.
Flexible paid time off - we coordinate with each other to make sure work and play find a healthy balance.
Celebrate Diversity Paid Holiday Program - a combination of set and floating Company Holidays - so you can choose the days most meaningful to you. Extra paid time off to serve (jury duty) and VOTE as well!
Mentorship opportunities - grow within your field, gain valuable skills and experience in a new one or become a change agent for those around you - all on Company time.
Paid Parental Leave - for Moms, Dads and everything in between
Additional perks:
Remote-friendly office - Work from the place that best works for you.
Flexible working hours - night owl? Got kids/pets/family obligations? We value your output, not the clock.
Virtual company-wide happy hours, product demos, support groups and team events. Philanthropy and community outreach too - we are constantly finding new ways to stay meaningfully connected in this virtual world.
Free Health & Wellness App Subscription- fitness, mindfulness, stretching, stress management, nutrition and so much more.
Monthly technology reimbursement - $100 per month (tax free!) to help you stay connected and in touch
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Senior Research Scientist | Thorn |
Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn allows you to apply your skills, expertise, and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you can bring clarity to complexity and lightness to heavy issues, you could be an excellent fit for our team.
In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet.
About the Role:
As a Senior Research Scientist, you will independently, and in partnership with the Research & Insights team, advance Thorn’s organizational knowledge of online child sexual exploitation and emerging trends. The work you do will be a combination of finding quick wins and developing longer-term research. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with both technical and non-technical audiences. You’ll work closely with the Head of Research & Insights to grow the Research team’s impact, both internally and externally, by delivering nimble, innovative, and rigorous research.
What You’ll Do:
Serve as a source of issue expertise in online child sexual exploitation and emerging trends. Mastering a variety of concepts and related data points to help Thorn make strategic decisions off the best information available.
Lead a diverse portfolio of research projects leveraging a variety of large, unstructured data sources to drive understanding of trends in online child sexual exploitation
Implement new statistical or machine learning methodologies as needed for specific models or analyses
Draft briefs and reports that clearly and accurately distill nuanced subjects to a range of technical and non-technical audiences
Create visualizations to facilitate strategic decision making
Keep up to date with the newest developments in statistical analysis and related data science technologies
Mentor teammates fostering critical thinking and excellence in our research
Actively pursue diversity and inclusion in Thorn research to ensure all kids are represented in our understanding of this issue
Intentionally and proactively practice, defend and improve data ethics and statistical integrity, both in own work and cross-functionally across teams
Skills We’re Seeking
At least five years experience in statistical analysis and/or data science using either Python or R with at least moderate knowledge of Python.
At least two years mentoring and coaching colleagues via pairing, research design, and code review
Strong written, verbal, and visual communication skills, and the ability to tailor messaging to a range of audiences
Some travel will be required in the future
Prior knowledge of child exploitation/abuse issues is a plus
Desire to serve Thorn’s mission
Technologies We Use
Python, Jupyter notebooks
Python packages for statistical analysis and ML, like scikit-learn, statsmodels, etc.
NLP tools like NLP tools like Spacy, Gensim, or Hugging Face transformers.
ElasticSearch, SQL
Network analysis tools like NetworkX, neo4j graph algorithms
Github for code version control
DVC for version control of non-code data analysis artifacts
You should have at least four years of professional experience with these:
Python or R for data analysis
Statistical inference, hypothesis testing, regression analysis
Time series analysis
Data quality analysis
Unsupervised learning / clustering techniques
In addition, you should have non-trivial experience with:
Network analysis / social networks analysis
Expertise in any of the following is a major plus:
NLP
Raw data collection and processing, like web scraping, working with APIs to collect data, working with open source data, and querying databases
Bias assessment
In-depth knowledge of digital photo image metadata, photo editing techniques, webcams
Linguistics, especially computational linguistics
Experience in Anthropology, Psychology/Sociology, Epidemiology, Criminology, Forensic Science, Fraud detection
Emerging trends detection
Data visualization
At Thorn, we understand the value of developing a team with different perspectives, educational backgrounds, and life experiences. We prioritize diversity within our team and encourage people from underrepresented backgrounds to apply. Your skills are needed here.
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Data Scientist | Sardine |
Sardine helps neobanks and crypto wallets with fraud indemnification and advanced risk scoring. We're rapidly growing but still a small team. You'll be essential part of building next phase of company.
You will:
Develop statistical and machine learning models for fraud prevention and other use casesUse data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experienceEvolve our risk metrics, the datasets to support them, and the measurement of causal impact of initiatives to improve themBring data-driven thinking to our team and our customers
We’re looking for someone who has:
5+ years of data science/quantitative modeling experienceAdvanced Degree in Mathematics, Statistics, Quantitative Finance, Economics, Sciences, Engineering, or Computer ScienceStrong working knowledge of SQL, R, Python, Matlab, C++, or equivalentCreative problem solving, strong critical thinking, and a get things done mentality
Technologies we use includes:
bigtablepostgresGCP dataflow (apache beam)bigqueryElasticSearchMetabaseTypeScript (React + node)GolangPythonRuby
Benefits
Remote-firstFlexible PTOHealth care and 401KWork from home stipend7-year for post termination option exercise (vs standard 90 days)
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Data Scientist Freestyle Recommendations | Stitch Fix |
About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven, data science culture where members have autonomy to deliver impact through end-to-end, full-stack product development and ownership. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. As a $2B+ company we are looking for data scientists and leaders to join us in the revolutionization of retail.
The Freestyle recommendations team leverages personalization algorithms to power the Freestyle experience, which involves a combination of modeling style, outfit recommendations, and expanding Stitch Fix’s total addressable market. In doing so, this team builds capabilities that explore a client’s stylistic preferences and then use those to produce rankings over best items and outfits in real-time.
About the Role
In this role you will contribute to building the future of personalized apparel shopping: we are moving beyond the paradox of choice to generate and present unique content to clients tailored to their particular needs at any given time. Whether it’s for clients finding an item for a special occasion, discovering something that fits their existing wardrobe, or just wanting to get inspired - Stitch Fix’s Freestyle aims to do it all while personalizing styles for the client’s aesthetic, size, fit and price comfort zone.
This is a new, growing, and exciting area for the business in which you will get the opportunity to work cross-functionally with Strategy, Product, Merchandising, Marketing and Engineering business partners to build these capabilities from the ground up!
YOU'RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL…
Solve problems related to real-time personalization, recommendations and ranking, seasonality and diversity, category generation and discovery, multimodal search, latent representation, etc.
Experiment and build new 0 to 1 algorithmic capabilities that deliver personalized content to clients
Productionize models together with our very helpful data platform team for real-time applications
Leverage unique data about our clients, our merchandise, and their interactions across all Stitch Fix surfaces
Work with our product and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure
WE’RE EXCITED ABOUT YOU BECAUSE…
You have production machine learning experience and are proficient in deploying apps in Python
You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field.
You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners
You are a compassionate teamplayer and you see your growth and success entangled with the growth and success of your peers
You are innovative and inspired to take on new challenges and you do not shy away from potential failure
You possess a solid understanding of ML & engineering and want to grow even deeper in the field
You think about ethics in AI, the impact of machine learning on society, and want to bring that to bear in our work here
Why you'll love working at Stitch Fix...
We are a group of people who are bright, kind and motivated by challenges. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed, and have meaningful impact
We take what we do seriously. We don’t take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day
About Stitch Fix
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:https://www.stitchfix.com/privacy/usrecruitingprivacy
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Data Science Manager | Ramp |
Ramp is building the world's first finance automation platform designed to save businesses time and money. Ramp offers 5-in-1 software that consolidates corporate cards, expense management, bill payments, accounting, and reporting into one simple and free solution. More than 3,000 businesses are using Ramp to process billions in annualized transaction volume. Customers include some of the fastest growing startups and unicorns like Ro, DoNotPay, Better, ClickUp, and Applied Intuition, as well as established businesses across the US such as Bristol Hospice, Walther Farms, Douglas Elliman, and Planned Parenthood.
Founded in 2019, Ramp is NYC's fastest growing startup, having achieved a unicorn valuation of $3.9 billion in just over 2 years. Ramp has raised $620 million in funding from investors including Founders Fund, Stripe, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. Ramp is part of the Forbes Fintech 50 and Fast Company's Best Workplaces for Innovators program.
What You’ll Do
The Data Science team at Ramp creates value by optimizing core leverage points across the business (i.e. Risk, Growth, Core Product, etc).
Leverage a combination of structural modeling, causal inference, machine learning, and optimization to build key algorithms to solve core business problems
Work across the lifecycle of quantitative problems -- from formalizing nebulous business problems into tractable quantitative frameworks, to doing research & prototyping, to working with engineers to put algorithms into production
Design & run statistically-sound experiments to measure the causal impact of your work
Define, clean, and transform large datasets from a wide array of data sources
Contribute to the company roadmap by working closely with product management, engineering, and other stakeholders
What You Need
Minimum 1 year of experience hiring and managing data scientists
M.S. degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 3 year of industry experience as a Data Scientist
Bachelor's degree with a minimum of 5 years of industry experience
Advanced SQL expertise (preferably PostgreSQL 11.x and newer)
Experience leveraging scripting languages (i.e. Python) to work with large datasets
Familiarity with the mathematical fundamentals of statistics, optimization, and/or economics
Familiarity with experimental design (such as A/B testing), causality, and statistical methods
Track record of shipping high quality products and features at scale
Nice to Haves
PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Familiarity with Tensorflow
Prior experience within data engineering; creating & maintaining ETLs / pipelines
Experience at a high-growth startup
Background in finance, risk, underwriting, and/or fraud
Ramp Benefits (for U.S. based employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
401k (including employer match)
Parental Leave
Unlimited PTO
WFH stipend to support your home office needs
Monthly wellness stipend
Annual education reimbursement
Relocation support
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Senior Data Scientist | Ramp |
Ramp is building the world's first finance automation platform designed to save businesses time and money. Ramp offers 5-in-1 software that consolidates corporate cards, expense management, bill payments, accounting, and reporting into one simple and free solution. More than 3,000 businesses are using Ramp to process billions in annualized transaction volume. Customers include some of the fastest growing startups and unicorns like Ro, DoNotPay, Better, ClickUp, and Applied Intuition, as well as established businesses across the US such as Bristol Hospice, Walther Farms, Douglas Elliman, and Planned Parenthood.
Founded in 2019, Ramp is NYC's fastest growing startup, having achieved a unicorn valuation of $3.9 billion in just over 2 years. Ramp has raised $620 million in funding from investors including Founders Fund, Stripe, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. Ramp is part of the Forbes Fintech 50 and Fast Company's Best Workplaces for Innovators program.
What You’ll Do
The Data Science team at Ramp creates value by optimizing core leverage points across the business (i.e. Risk, Growth, Core Product, etc).
Leverage a combination of structural modeling, causal inference, machine learning, and optimization to build key algorithms to solve core business problems
Work across the lifecycle of quantitative problems -- from formalizing nebulous business problems into tractable quantitative frameworks, to doing research & prototyping, to working with engineers to put algorithms into production
Design & run statistically-sound experiments to measure the causal impact of your work
Define, clean, and transform large datasets from a wide array of data sources
Contribute to the company roadmap by working closely with product management, engineering, and other stakeholders
What You Need
M.S. degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 1 year of industry experience as a Data Scientist
Bachelor's degree with a minimum of 2 years of industry experience
Advanced SQL expertise (preferably PostgreSQL 11.x and newer)
Experience leveraging scripting languages (i.e. Python) to work with large datasets
Familiarity with the mathematical fundamentals of statistics, optimization, and/or economics
Familiarity with experimental design (such as A/B testing), causality, and statistical methods
Track record of shipping high quality products and features at scale
Nice to Haves
PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Familiarity with Tensorflow
Prior experience within data engineering; creating & maintaining ETLs / pipelines
Experience at a high-growth startup
Background in finance, risk, underwriting, and/or fraud
Ramp Benefits (for U.S. based employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
401k (including employer match)
Parental Leave
Unlimited PTO
WFH stipend to support your home office needs
Monthly wellness stipend
Annual education reimbursement
Relocation support
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Data Science Lead Marketplace | Hipcamp |
About Hipcamp
Hipcamp unlocks access to private land, creating new places for people to get outside and go camping, glamping, or RV’ing. We believe that spending time in nature is essential to a happy and healthy human life, and we are deeply passionate about our mission to get more people outside. We are proud of the impact Hipcamp creates by making nature more accessible, providing income to support the protection of private land, and creating community across the urban rural divide.
Hipcamp’s mission is to connect people with the magic of the outdoors. We make Hipcamp successful by understanding our users and inspiring them to engage with our platform.
About the Role
Hipcamp is looking for a founding Data Scientist to build out our data science practice and drive matchmaking via marketplace initiatives. In this role you will be able to set the course for the future of data science at Hipcamp. This is a perfect role for someone with experience that wants to take the lead and shape the vision for how Hipcamp uses data science.
What we're looking for
Machine Learning
You will have the opportunity to fundamentally shape our use of machine learning. Building both machine learning models embedded directly in our product and in models used to optimize our business. The range of possible algorithms is broad therefore it is important that you understand when it is appropriate to use a given technique and understand the statistical methods used to assess your results. You will have experience and strong opinions about how to build an ML practice and you will be supported by our staff, product, and engineering team. You will build and hire a team to build the data science platform that runs Hipcamp. You will drive transformative business outcomes.
Leadership
You lead others and have strong opinions about how data science can impact our business. You will work closely with staff, product and engineering teams to define the strategic roadmap. You will build a team to execute on that vision guided by hard results. You'll iterate efficiently and by doing so your work will have long lasting impacts on the business. You will build trust and influence throughout the company and be a champion for objectivity. You will reveal patterns and build systems that lever up all of our efforts.
Experience
Ideally you have experience applying data science broadly to business challenges and have delivered impact. E-commerce or two-sided marketplace experience not required but preferred. Experience with designing and deploying online models at scale ideal. Experience designing recommendation systems and personalized product experience from scratch. Experience working with stakeholders and influencing strategy required.
About our Work Environment
Compensation will be a mix of salary and stock options. We are a 100% remote company post Covid-19.
Health is essential to happiness. In addition to full health insurance, all team members receive a monthly wellness stipend and $1K in Hipcash because we believe getting outside is excellent preventative medicine in addition to increasing your creativity, lowering your stress, and making you an overall more awesome human.
We focus on results, not hours. We believe that clearly defined goals combined with great people, empowerment, and autonomy create the best results. We feel confident that inclusive and diverse teams working on an important cause can accomplish extraordinary things.
Hipcamp is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. In fact we are confident that the most inclusive and diverse teams accomplish the most extraordinary results.
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Data Scientist | Lightyear Health |
Description
Lightyear Health is looking for a Data Scientist to support data-driven decisions that improve the quality of life for seniors. You’ll be an integral part of a fast-growing health-tech startup with a vibrant, supportive culture, and work closely with experienced data scientists.
As a Data Scientist, you will have the opportunity to learn from the team around you and collaborate with other areas of the organization such as Engineering, Product, and Marketing. This is a perfect role for those looking to further their experience in Data Science and make an immediate impact on the business.
Here’s what you’ll do:
Leverage your expertise in analytics to surface actionable insights from clinical and business data
Build and maintain reliable data tools and pipelines to power our analyses that inform company operations and patient care
Own your analytic projects, proactively identify data issues, test assumptions, and propose solutions
Support other data science projects as needed
We’d love to hear from you if you have the following:
1+ years of professional experience in data analytics; experience with health data preferred
Experience using SQL and other data science tools (e.g. Python, R)
Solid understanding of inference and confounding
Willingness to learn new skills and hone one’s craft
Strong communication and collaboration skills
Willingness to take ownership of your work
Understanding of machine learning basics is a plus!
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Anticipated Salary Range
We’re committed to an inclusive, consistent, and equitable approach to compensation and anticipate that this position will earn between $90,000 and $110,000 USD annually. The exact salary will depend on (1) how many years of relevant and transferable experience the candidate brings to the role and (2) the internal level at which the candidate is hired in relation to our career development framework. All team members also receive a stock option grant.
About Lightyear Health
At Lightyear Health, we demand more for people aging with cognitive and functional impairments. We envision a world where every resident has access to the world’s foremost experts in geriatric care.
Lightyear Health is a team of experts in geriatric care who provide specialized healthcare to individuals needing post-acute care. Taking a proactive approach (and enabled by our proprietary software) our team collaborates with individuals, families, and caregivers to design care plans that address the specific needs of each person. We deliver healthcare directly to the bedside and accept nearly all insurances so that quality care is convenient and accessible.
Working at Lightyear Health
We know that our people are indispensable to achieving our mission, and strive to build an inclusive environment that enables everyone to do their best work. In that spirit, we deliberately hire people from all walks of life — including race, gender identity, sexual orientation, disability status — and from all parts of the United States and Canada. If you’re motivated by our mission and eager to contribute to our team and culture, we’d love to hear from you.
Specific benefits for full-time employees include:
30 days of paid time off (PTO) per year, up to 10 of which can roll over to the following calendar year (note that this will start in 2022; there are no set days for the remainder of 2021)
12 weeks of fully paid parental leave
Competitive medical, vision, and dental health plans
401(k) plan through Human Interest, including an employer match of 1% of annual salary
Stock option grants for all team members
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Senior Data Scientist | Resultant |
Company Description
Resultant is a modern consulting firm with a radically different approach to solving problems.
We don’t solve problems for our clients. We solve problems with them.
Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they’re striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.
Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia.
We’re Resultant. Clients partner with us to see a difference. People join us to make one.
Job Description
At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems. Data analytics is a core component of how we do this.
We are looking for Data Scientists to add to our talented Data Team. In this role, you will perform data analysis, statistical analysis, and develop algorithms and methodologies on structured and unstructured data for on-demand and software-embedded use.
Here’s what a typical day for you might look like:
Develop and apply machine learning and advanced analytics algorithms to solve problems you’ve never seen beforeCollaborate with data architects and software developers to plan and construct the architecture of model deploymentSummarize results and communicate to our team and clientsContribute and share new knowledge with our team at a lunch-and-learnExpect to face new challenges each day. Expect to work on a high diversity of differentproblems. Expect to work hard and learn faster than you thought possible.
Qualifications
This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience. Some of the qualifications and skills we are expecting are:
Bachelor’s and preferably advanced degree in a quantitative field requiredExperience developing algorithms with Python and/or RExperience working with data from a traditional relational database environment. NoSQL experience a plusExperience with statistical modeling and analysisExperience performing longitudinal analysis a plusExperience with distributed computing a plusDevelopment experience on Linux/MacExperience with Bayesian analysis is a plusExperience developing interactive visualization (shiny, plotly) is a plusExperience with developing in cloud environment is a plusExperience with text mining and NLP algorithm is a plusExperience with open source machine learning and data stack (gensim, Caffe, Keras, spacy) is a plusExperience with graph and network algorithms is a plusExperience with container technologies (docker) and development toolkit (git, jenkins) is a plus
Strong working knowledge of the following:
Modern data mining and machine learning methodsStatistics, mathematics, computer science, numerical methods, and data visualizationLinear algebra and probability·Regular expression and text miningRapid prototyping and developmentSolution creativity and effective written, verbal, and presentation skillsProgressive mindset particularly around deployment models and emerging technologiesCollaborative team player who is detailed oriented, focused on solution quality and executionComfortable working across a wide range of project sizes and industriesEntrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems
Additional Information
What you should know about us:
We are humble, hungry, and smart. We solve big problems, serve lots of clients, and are entirely committed to delivering transformative outcomes. We are team players, deeply dedicated to the mission of the organization, and to helping everyone around us be successful. We compensate well, rewarding performance that delivers positive outcomes for our clients and ensuring incentives are aligned to achieve our goals. Our leaders work hard, serving as shining examples of what it means to live out our values. They are servant leaders, helping their teams to be successful in all possible ways. We have a great benefits package including unlimited vacation, significant 401k contributions, and several opportunities to develop yourself. We pride ourselves in having the best talent in the industry and hope that you're up for the challenge!
What our team members say about us:
"I love our true empathy and concern for our clients, it's very rare and appreciated. It is a pleasure to be a part of an organization like this.""I learn something new every single day, and I feel like I'm a part of building an organization that has legs. I appreciate that I'm consistently humbled by the talent and caliber of our team.""The culture of the company is amazing, and the climate of my team is great. The benefits that employees are offered are better than competitors, and the one-on-one presence that my team lead gives is extremely beneficial to me."
All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status.
Equal Opportunity Employer
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Senior Data Scientist Square For Retail | Square |
Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
Retailers have struggled too long with clunky, outdated and disconnected tools. Even as mammoth Retail and e-commerce forces threaten to disrupt smaller merchants, we are empowering those merchants with simple and elegant solutions to complex problems - like predictive analytics and fluid, omni-channel capabilities to meet customers wherever they are - to always make the sale. Square for Retail is one of Square’s three vertical Point of Sale solutions, focused on serving upmarket sellers.
Square’s mission is economic empowerment, and Data Scientists support this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience. You and your fellow data science & analytics teammates on the Retail Analytics team are embedded within product and marketing sub-teams (“squads”), leveraging data engineering, analytics, statistics, and machine learning to empower data-driven decision making in the full life cycle of product development.
You will:
Partner with the product, design, and marketing stakeholders to identify, prioritize, and answer the most important questions where analytics can have a material impactApply a diverse set of tactics such as business intelligence, statistics, exploratory analysis, and machine learning; discerning where simple analytics solutions (e.g. a quick heuristic or visualization) are preferable to complex solutions (e.g. machine learning)Contribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at Square
Qualifications
You have:
5+ years of analytics experience, and a Bachelor’s degree or equivalent professional or academic experienceFluency in SQL, with experience exploring and understanding large, complex datasets & data systemsExperience working with technical and non-technical partners, such as product managers and product marketing managersExperience with statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, cross-selling, clustering user archetypes, and predicting churnExperience with a BI tool such as Looker or Tableau
Even better:
An advanced degree (M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical fieldExperience with data warehouse design, development and best practices
Technologies we use and teach:
SQL (Snowflake)OptimizelyAirflow (ETL)Looker, Amplitude, TableauPython (pandas, scikit-learn, etc.)
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Senior Data Scientist Square Conversations | Square |
Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. Whether it’s the food truck that’s establishing a brick & mortar restaurant, the former sole proprietor adding her first employees, or the entrepreneur expanding from one location to ten, as our sellers scale, so do our solutions. We all grow together.
Job Description
As a member of the Square Conversations Data Science team, you will use statistical, machine learning, analytics, and data engineering techniques to empower decision-making for Square’s core messaging product. Over the last two years, the Conversations team has built an impressive communication platform that is used by a large and diverse set of sellers, in turn delivering tremendous business value (e.g. enablement of buyer-seller interactions through text and email, invoices/receipt messages, automated reminders, etc.). As the team continues to scale, there will be numerous opportunities for data science to generate additional impact, such as sizing new strategic opportunities related to integrations with the rest of the Square ecosystem, operationalizing new metrics, evaluating the incremental impact of new launches, leveraging machine learning to carry out segmentation/generate predictive insights, and collaborating with other orgs across Square on new initiatives.
You will:
Partner with the Square Conversations team to make data-driven decisions that have significant impact;Apply a diverse set of techniques including statistical analysis, machine learning (ML), analytics, and data engineering to generate strategic insights;Collaborate with the Conversations AI engineering team on interesting ML initiatives;Communicate analysis and recommendations to high-level business partners in verbal, visual, and written forms;Develop resources and collaboration processes to empower data access and self-service so that your expertise can be leveraged where it is most impactful.
Qualifications
You have:
4+ years of data science experience or equivalent;Fluency with Python and SQL;Solid statistical foundations (e.g. A/B testing);Familiarity with standard machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation) and curiosity to learn more modern techniques (e.g. NLP) as required;Familiarity with data engineering best practices;Experience leading cross-functional projects and partnering with Product/Design/Engineering/UX Research on strategy and prioritization;Excellent verbal and written communication.
Nice to have:
M.S or Ph.D. in a quantitative field (e.g. mathematics, statistics, or similar STEM field);Experience working on growth, risk, or messaging-related products.
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $152,100 - USD $185,900Zone B: USD $144,500 - USD $176,700Zone C: USD $136,900 - USD $167,300Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Senior Product Data Scientist Crypto | Square |
Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, instantly available and universally accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.Check out our locations, benefits and more at cash.app/careers.
Job Description
Cash App is looking for a Senior Product Data Scientist with a deep interest and passion for bitcoin and data to join our Crypto team. The Crypto team’s mission is to empower individuals across the world by providing financial services based on bitcoin and other digital assets.
Cash App became the first public company to launch bitcoin purchases in 2018 and since then we’ve added a full ecosystem of bitcoin products you’ll be supporting, from bitcoin buy/sell to novel technologies like the lightning network. Because you will work with bitcoin data across multiple touchpoints (internal systems, blockchain, lightning network, etc.) a solid understanding of how these technologies function and demonstrated experience/interest working with this data is a big plus.
As a Senior Product Data Scientist Cash App Crypto you will:
Partner directly with product managers, engineers, and designers on the Crypto team to identify new product opportunities and optimize existing products through data insightsWork directly with blockchain and lightning network data to track and optimize the performance of our external crypto payments over those networksAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B test experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
6+ years of data science and analytics experience in industryDeep interest and passion for bitcoin and blockchain dataA graduate degree in physics, economics, statistics, or a similar STEM field, or a bachelor’s degree and significant relevant experienceExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, Mode, etc)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $184,100 - USD $225,000Zone B: USD $174,900 - USD $213,700Zone C: USD $165,700 - USD $202,500Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Product Data Scientist Bitcoin Wallet | Square |
Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
We're building a bitcoin wallet for the next 100M bitcoin users - importantly for people around the world who likely haven't yet used bitcoin as a savings tool or for its payments capabilities yet. Our goal is economic empowerment -- starting with bringing easy-to-use, reliable wallet that helps people around the world own and manage their bitcoin, rather than having to rely on several tools and services that don't work well together and are challenging to use for a wide global audience.
Our goal is to make the future of money intuitive, and safe while helping customers build a better financial future. We're assembling a team experienced in an extremely wide range of disciplines, including business, operations, design, software, hardware, security, and so many other aspects of product delivery.
We are hiring our first Product Data Scientist to help our product, marketing, engineering and customer support teams make data-driven decisions about what and how we build for our customers when helping them manage their money. This is a unique opportunity to not only be embedded with an early stage team where you'll have close proximity to strategy and building so you can produce action-oriented analyses, but you'll also influence our data infrastructure and tooling decisions.
Because you will work with bitcoin data across different sources (internal systems, blockchain, lightning network, etc.), an understanding of how these technologies function or demonstrated experience or interest working with this data is a big plus.
You will report to our Head of Business within Bitcoin Wallet. You can be based anywhere remotely in the United States, as well as in several countries around the world including the UK, Ireland, the Netherlands, Germany, among other countries.
Come build the future of money with us! Learn more through our newsletter here.
You Will:
Empower our team to use data to make business decisions as we build a global product from its earliest days- an opportunity to build data analysis into the infrastructure of a team from day 1Develop both backwards-looking analysis on product performance, marketing effectiveness, monetization and pricing and other main product and business decisions, as well as forward-looking predictive models to help us better understand customers and their needs (e.g. cluster analysis that help us map customer segments back to product usage, retention models)Empower the teams with data and help them to make decisions on improving product features and building a meaningful roadmap (e.g. funnel metrics, analysis of churn and CS data, etc), as well as influencing important decisions like pricing based on acquisition and retention insightsAs a member of the Business team, you'll have the product and business context to be able to proactively spot trends and connect sometimes seemingly disconnected data sets to help the team develop and prove out hypotheses across the end to end lifecycle, forming cohort analysis on things like acquisition channels, etc.Navigate external data sets such as publicly available blockchain data insights (eg bitcoin blockchain analysis) to help us understand things like our total addressable market (TAM) as well as SAM and SOMDesign and help run statistically-significant experiments across different cohorts of customers and ensure hygienic approach to things like causation vs correlationCreate models that help us to analyze risk and security threats as well as optimize key decisions on our approach to money movement (i.e. transaction modeling)Support and guide in our early data infrastructure decisions with product and engineering - as we are a zero to one team, you will get to shape the data infrastructure decisions we make so we have scalable ways of working where data is easily accessible to the right people on our team, all while ensuring that data is secure and aligned with our privacy principles and commitment to customers and partners.
Qualifications
You Have:
Background in working in product-driven organizations and building and sharing data-driven insights to help make decisions with 8+ years of experienceExperience with cohort and funnel analyses, an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience telling stories and making relevant recommendations with dataYou've set up and run A/B tests and other types of experimentation designs and can help ensure statistical significance in the right testing environmentWith technical skills, you can automate complex processes and construct data pipelinesExperience with data visualization tools (e.g. Looker, PowerBI, Tableau etc.)Work in collaborative team environments including Product, Marketing, Engineering, Design and ResearchThrives in earlier stage environments - you're a self-starter who gets excited about complex, sometimes vague, or longer-term problems and can be creative on how to solve those problems with data and insightsFamiliarity or interest in learning blockchain analytics as we are building in the bitcoin space and external data sets will help you uncover richer trends and recommendations; ability to connect internal and external data sourcesTechnical skills: Python or R, Advanced SQL
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Product Data Scientist Bitcoin Wallet | Square |
Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
We're building a bitcoin wallet for the next 100M bitcoin users - importantly for people around the world who likely haven't yet used bitcoin as a savings tool or for its payments capabilities yet. Our goal is economic empowerment -- starting with bringing easy-to-use, reliable wallet that helps people around the world own and manage their bitcoin, rather than having to rely on several tools and services that don't work well together and are challenging to use for a wide global audience.
Our goal is to make the future of money intuitive, and safe while helping customers build a better financial future. We're assembling a team experienced in an extremely wide range of disciplines, including business, operations, design, software, hardware, security, and so many other aspects of product delivery.
We are hiring our first Product Data Scientist to help our product, marketing, engineering and customer support teams make data-driven decisions about what and how we build for our customers when helping them manage their money. This is a unique opportunity to not only be embedded with an early stage team where you'll have close proximity to strategy and building so you can produce action-oriented analyses, but you'll also influence our data infrastructure and tooling decisions.
Because you will work with bitcoin data across different sources (internal systems, blockchain, lightning network, etc.), an understanding of how these technologies function or demonstrated experience or interest working with this data is a big plus.
You will report to our Head of Business within Bitcoin Wallet. You can be based anywhere remotely in the United States, as well as in several countries around the world including the UK, Ireland, the Netherlands, Germany, among other countries.
Come build the future of money with us! Learn more through our newsletter here.
You Will:
Empower our team to use data to make business decisions as we build a global product from its earliest days- an opportunity to build data analysis into the infrastructure of a team from day 1Develop both backwards-looking analysis on product performance, marketing effectiveness, monetization and pricing and other main product and business decisions, as well as forward-looking predictive models to help us better understand customers and their needs (e.g. cluster analysis that help us map customer segments back to product usage, retention models)Empower the teams with data and help them to make decisions on improving product features and building a meaningful roadmap (e.g. funnel metrics, analysis of churn and CS data, etc), as well as influencing important decisions like pricing based on acquisition and retention insightsAs a member of the Business team, you'll have the product and business context to be able to proactively spot trends and connect sometimes seemingly disconnected data sets to help the team develop and prove out hypotheses across the end to end lifecycle, forming cohort analysis on things like acquisition channels, etc.Navigate external data sets such as publicly available blockchain data insights (eg bitcoin blockchain analysis) to help us understand things like our total addressable market (TAM) as well as SAM and SOMDesign and help run statistically-significant experiments across different cohorts of customers and ensure hygienic approach to things like causation vs correlationCreate models that help us to analyze risk and security threats as well as optimize key decisions on our approach to money movement (i.e. transaction modeling)Support and guide in our early data infrastructure decisions with product and engineering - as we are a zero to one team, you will get to shape the data infrastructure decisions we make so we have scalable ways of working where data is easily accessible to the right people on our team, all while ensuring that data is secure and aligned with our privacy principles and commitment to customers and partners.
Qualifications
You Have:
Background in working in product-driven organizations and building and sharing data-driven insights to help make decisions with 8+ years of experienceExperience with cohort and funnel analyses, an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience telling stories and making relevant recommendations with dataYou've set up and run A/B tests and other types of experimentation designs and can help ensure statistical significance in the right testing environmentWith technical skills, you can automate complex processes and construct data pipelinesExperience with data visualization tools (e.g. Looker, PowerBI, Tableau etc.)Work in collaborative team environments including Product, Marketing, Engineering, Design and ResearchThrives in earlier stage environments - you're a self-starter who gets excited about complex, sometimes vague, or longer-term problems and can be creative on how to solve those problems with data and insightsFamiliarity or interest in learning blockchain analytics as we are building in the bitcoin space and external data sets will help you uncover richer trends and recommendations; ability to connect internal and external data sourcesTechnical skills: Python or R, Advanced SQL
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $184,100 - USD $225,000Zone B: USD $174,900 - USD $213,700Zone C: USD $165,700 - USD $202,500Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Data Scientist Ecosystem Analytics | Square |
Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
The Decision Science organization at Square helps our sellers and our business grow by empowering decision making with data. The team provides Square with a variety of critical information such as marketing attribution, investment ROI, seller value, product behavior, and funnel performance. The team achieves this by building remarkable data infrastructure, analytics, data science, and machine learning solutions. The Ecosystem Analytics team within Decision Science plays an essential role in optimizing growth across the Square ecosystem, by conducting experiments on digital surfaces, distilling data into insights, and influencing decisions with actionable recommendations.
Data Scientist in the role will be working with the teams responsible for sellers' onboarding into Square ecosystem of products. You will use analytics, experimentation, and personalized ML to drive conversion and product adoption.
We want employees to be able to reside where they feel most creative and productive. You will be part of an org that works across pacific, central, and eastern time zone(s). In this role, you and your direct team will be primarily organized and operating within the pacific standard time zone. This role is open to all people who can be effective partners with this team, including sharing typical working hours.
You will:
Work with product and marketing partners to improve our onboarding process thru data-driven techniques such as experimentation, analytics, and ML. Monitor and improve conversion, drive product adoption and cross-sell in the onboarding flow. Work with the product team to design and read digital experiments. Produce a suite of analytics and BI solutions that allow a wide variety of stakeholders to understand key metricsWork alongside our business, finance, and Machine Learning modeling functions to develop measurement solutions for the future
Qualifications
You have:
5+ years of experience in quantitative analytics, data science, and analytical consultingNimble with SQL, Looker, Python, and other quantitative analytics languages and toolsExperience with designing, running and communicating results of digital experiments. Familiarity with the domains of marketing attribution, lifetime value modeling, and ROI measurementsStrong written and verbal communication skills with the ability to explain technical data to a variety of executives and stakeholders across the companyFluency of data analytics with the ability to independently contribute to technical output Ability to quickly and deeply understand our product ecosystem, business, marketing strategy, metrics, and modelsFamiliarity with data warehouse design, development and best practices
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $152,100 - USD $185,900Zone B: USD $144,500 - USD $176,700Zone C: USD $136,900 - USD $167,300Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
|
Data Scientist Risk | Square |
Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes to root out high-risk activity across the Square platform of products. You will also manage top level Risk KPIs, establish core operational metrics, and make improvements through machine learning solutions or analysis.
The Risk Data Scientist will use analytical skills to identify and prevent fraud risks. You will lead experimentations to promote Risk effectiveness throughout Square. You will partner with product, engineering, operations, policies and sales to influence Squares global Risk road map and processes. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.
You Will
Diagnose problems and develop compelling, data-driven recommendationsDevelop and maintain multiple data pipelines and ETLsPartner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processesHave a chance to use machine learning tools to develop data-driven solutions.Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experienceDevelop executive presentations for Squares leadership
Qualifications
BS/BA in Statistics, Mathematics, Operations Research, Management Science, Computer Science, or a related technical field, OR BS/BA in Criminal Justice, Economics, Business, or a related business field2+ years of relevant experience (or masters degree)Experience with SQL, Python and LookerExperience driving data-driven solutions and project-managing their implementationExperience answering unstructured questions and managing projects and tasks to a conclusionA passion for Square's missionExperience in risk, trust and safety, payments, or spam prevention
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Data Science Manager Square Point Of Sale | Square |
Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
We are looking for a Data Science Manager to join our team and help continue to build and grow our core POS processing team. You will report to the Head of Data Science & Analytics and partner with product, marketing, design, and engineering leads on product and business strategies. You and your team will leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bring our products to market. Although this is a leadership role, we want someone who brings hands-on technical experience - you should expect an interview process that optimizes both leadership and technical skills.
You will:
Lead a team of Data Scientists and help them set goals, collaborate, and scale with their cross-functional partnersProvide mentorship to team members through feedback, coaching, and hands-on technical guidance as needed, focusing on their long-term growthPartner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Qualifications
You have:
2+ years of experience in people management with a track record of building high-performance teams and growing talent6+ years of data science and analytics experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growthExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Nice to have:
M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retention
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $202,500 - USD $247,500Zone B: USD $192,400 - USD $235,200Zone C: USD $182,300 - USD $222,800Zone D: USD $172,200 - USD $210,400
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
|
Data Science Manager | Square |
Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
We are looking for a Data Science Manager to join our team and help continue to build and grow the Square eCommerce team). You will report to the Head of Data Science & Analytics and partner with product, marketing, design, and engineering leads on product and business strategies. You and your team will leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bring our products to market. Although this is a leadership role, we want someone who brings hands-on technical experience - you should expect an interview process that optimizes both leadership and technical skills.
You will:
Lead a team of Data Scientists and help them set goals, collaborate, and scale with their cross-functional partnersProvide mentorship to team members through feedback, coaching, and hands-on technical guidance as needed, focusing on their long-term growthPartner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Qualifications
You have:
2+ years of experience in people management with a track record of building high-performance teams and growing talent6+ years of data science and analytics experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growthExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Nice to have:
M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on GTM, growth, and retentionDirect experience with eCommerce business and/or SaaS
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $245,100 - USD $299,500Zone B: USD $245,100 - USD $299,500Zone C: USD $245,100 - USD $299,500Zone D: USD $245,100 - USD $299,500
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
|
Lead Data Scientist Predictive Analytics | Spring Health |
Data is our most valuable asset at Spring Health. One area we’re excited to continue to invest in is leveraging our data to understand not just what has happened, but what will happen. In this role you will dive in deep with stakeholders to understand business context, become an expert in our data, and use your modeling expertise to merge those together into predictive analyses that help our teams prepare for what’s coming. You will be asked to build and own those models, and also have room to contribute to our broader thinking about how and where we build these models, and how we operationalize them.
What you’ll be doing: (Key Responsibilities)
Build a strong partnership with our finance team, establishing a deep understanding for how our business operates and the key metrics we use to measure its health
Dive in deep with our data and become an expert in what data we already have, and what data we might need to solve different problems
Develop predictive models for both business and clinical applications, helping the teams understand how decisions we make now may impact the future
Lead the dissemination of those models’ output to a range of stakeholders, both technical and non-technical, ensuring teams understand how to use the predictions to effectively make decisions for our business
Contribute to the technical tooling we develop to support predictive modeling more broadly
Shape the team’s set of best practices and guidelines for defining, building, testing, and deploying models
What we expect from you: (Qualification ex. education, experience, etc.)
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have 5+ years of working experience working with data and predictive modeling
You are an expert with time series modeling, and have built and tested models using common techniques (MA, AR, ARIMA, etc) using either R or Python
You have strong SQL skills and are comfortable digging into a data model to get the data you need
You have exceptional communication skills, and are comfortable working independently with executive level team members
You focus on impact, finding the things you can deliver that deliver the most value for your stakeholders
You are humble, highly motivated, and thrive in fast-paced environments
You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
You have a passion for successfully navigating ambiguous problem areas and learning new approaches
The target salary range for this position is $179,100-$218,550, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical.
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents.
Unlimited paid time off, 12 paid holidays throughout the year, and 10 sick days
4-4.5 months of fully paid parental leave.
$500 per year Wellness Reimbursement.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting after one year with the company.
Employer sponsored 401(k) match of up to 2% after 90 days of employment.
Creating a culture you can thrive in:
Flexible work arrangements:
60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices.
Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes.
Our team members have created five employee resource groups thus far and looking to add on more
|
Senior Data Scientist Customer Analytics | Spring Health |
We are looking for a Senior Data Scientist to join our Customer Analytics team. This is a new team building data products that enable our customers to understand the impact Spring Health is creating for their organization. In this role you will work closely with our customers and our internal teams to discover and scale the data narratives that highlight how we are eliminating barriers to mental health.
What you’ll be doing:
Be part of a team of innovative data scientists building the analytics story that demonstrates Spring Health's value to customers
Rapidly iterate with customers and our internal Sales and Customer Success teams to materialize that story in a scalable data product
Analyze data across all aspects of the member mental health journey to show our customers the value of their investment and provide them with actionable insights on how to further improve member wellbeing
What we expect from you:
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have a degree in a STEM-related field and at least 5 years of commercial experience in a data science role
You have exceptional communication skills, and have operated in a role that required frequent interaction with customers
You are proficient in SQL and Python
You have deep expertise building data transformation pipelines with DBT
You have experience building dashboards in Looker and training non-technical stakeholders on how to use them
Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
Passion for successfully navigating ambiguous problem areas and learning new approaches
You are energized by mentoring others and enjoy defining processes that help to scale your team
Bonus points for previous experience in benefits consulting, people analytics, or marketing
The target salary range for this position is $159,100 - $194,150 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical.
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents.
Unlimited paid time off, 12 paid holidays throughout the year, and 10 sick days
4-4.5 months of fully paid parental leave.
$500 per year Wellness Reimbursement.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting after one year with the company.
Employer sponsored 401(k) match of up to 2% after 90 days of employment.
Creating a culture you can thrive in:
Flexible work arrangements:
60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices.
Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes.
Our team members have created five employee resource groups thus far and looking to add on more
|
Senior Data Scientist Product Analytics | Spring Health |
We are looking for a Senior Data Scientist to drive analytics efforts targeted at enhancing end user experience within Spring Health’s software applications. You will be embedded in a product development team focusing on end user (Spring Health members’ or caregivers’) experiences and cover the entire feature launch cycle - from uncovering experience improvement opportunities to synthesizing actionable learnings and possible next steps post-launch. This role is highly collaborative: you will work closely with your product management, design, engineering, and user research counterparts and help the team connect the dots between product initiatives and business outcomes.
What you’ll be doing:
You will collaborate with product development leads on defining key indicators of the quality of our member and caregiver experience and uncovering opportunities to improve these metrics
You will ideate and design A/B tests to evaluate new product features
You will define product telemetry that enables seamless reporting and analysis
You will build necessary data models and insightful, automated dashboards necessary to track key product metrics
You will actively participate in prioritization and roadmapping discussions
You will lean into appropriate advanced methods, from advanced experimentation techniques to causal inference and statistical modeling, for deep-dive analyses around user interaction patterns
You will participate in the development of data-centric product features
What we expect from you:
Passion for changing the face of mental health care and excitement about Spring Health’s mission to remove all barriers to mental health
5 years of professional experience in a data role (data analyst, product analyst, data scientist, or similar), and at least 2 years of experience working with and defining product or growth metrics
Previous exposure to experimentation or hypothesis testing
Previous exposure to product development/design or a strong desire to learn all about it
Proficiency with SQL and a statistical analysis language (R/Python)
Experience working with BI tools (e.g. Looker, Tableau, Metabase) and product analytics SaaS tools (e.g. Mixpanel, Amplitude, Heap, etc.)
Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users
Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
Passion for successfully navigating ambiguous problem areas and learning new approaches
Proximity to NYC or willingness to travel once a quarter to NYC
The target salary range for this position is $159,100- $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical.
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents.
Unlimited paid time off, 12 paid holidays throughout the year, and 10 sick days
4-4.5 months of fully paid parental leave.
$500 per year Wellness Reimbursement.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting after one year with the company.
Employer sponsored 401(k) match of up to 2% after 90 days of employment.
Creating a culture you can thrive in:
Flexible work arrangements:
60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices.
Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes.
Our team members have created five employee resource groups thus far and looking to add on more
#LI-Remote
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Senior Manager Data Science And Machine Learning | Spring Health |
We are looking for an exceptional hands-on data science leader to drive the analytics vision and roadmap for our Caregiver Experience team. This cross functional product team is focussed on building out tools and workflows to support the entire Spring Health Care team in the delivery and coordination of world class virtual and in-person mental health care. This is an exciting opportunity to design and implement innovative data products that will ensure a high quality caregiver and member experience as well as contribute to and move the science and practice of mental health forward.
What you'll be doing:
Conceptualize, design and execute an ambitious data science roadmap for our caregiver experience team in partnership with product, engineering and care team leads.
You will lead, mentor and manage a team of data scientists in building out product analytics across our caregiver experience team, helping shape goals, metrics, experimentation and dashboards
Coach and mentor data scientists on the team to ensure their continued growth
Define the key success metrics that provider insight into the health of our caregiver experience and quality and uncover opportunities to improve these metrics
Lead the team in designing A/B tests and defining product telemetry to inform development and prioritization of new product feature releases.
Steer the team to create predictive and ML models to enhance our caregiver experience and network quality, including a personalized patient provider matching system and models that can measure and incentivize provider quality and outcomes
Perform analytical deep-dives to proactively identify product opportunities and inform experimentations and product roadmaps.
What we expect from you:
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
7+ years of professional experience in a data science role, and at least 3+ years in a leadership or management capacity.
You have experience in a broad spectrum of data science techniques (machine learning, causal inference, A/B test experimentation frameworks, NLP etc) and are excited to apply them to solve complex clinical or business problems
Experience using, building and enabling analytics infrastructure (ie data, analytics and ML pipelines)
Strong presentation and stakeholder management skills — fluently tell a compelling clinical or business story with dataProficiency with SQL and a statistical analysis language (R/Python)
Ability to work in a fast-paced, mission-driven environment
Proximity to NYC or willingness to travel once a quarter to NYC
The target salary range for this position is $179,100 - $218,550, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical.
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents.
Unlimited paid time off, 12 paid holidays throughout the year, and 10 sick days
4-4.5 months of fully paid parental leave.
$500 per year Wellness Reimbursement.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting after one year with the company.
Employer sponsored 401(k) match of up to 2% after 90 days of employment.
Creating a culture you can thrive in:
Flexible work arrangements:
60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices.
Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes.
Our team members have created five employee resource groups thus far and looking to add on more
#LI-Remote
|
Senior Data Scientist Machine Learning Social | Bungie |
Overview
Bungie is seeking a Senior Data Scientist to join our newly formed Machine Learning team. Reporting to the Director of Machine Learning, you will scope, prototype, and deploy machine learning models that will support social initiatives across our organization. In this role, you will directly support Bungie social teams by building knowledge graphs in order to extract insights that drive the future of co-experience in our games.
As part of the Bungie Analytics & Insights team, you will join a diverse team of analysts, data scientists, data engineers, and researchers. You will leverage your expertise in data analysis, data science, and engineering to build machine learning services for our games and create internal tools that empower Bungie teams to continue doing what they do best. Most importantly, your work will be essential to creating unmatched entertainment experiences designed to inspire friendships and lifelong memories.
RESPONSIBILITIES
Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions
Develop, deploy, and maintain machine learning services end-to-end in a cloud environment
Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team
Communicate the results of your analyses to both technical and non-technical colleagues
REQUIRED SKILLS
Experience working within cloud-based infrastructure to build, deploy, and manage models at scale in a live service environment
Advanced proficiency in Python and SQL
Advanced knowledge of machine learning frameworks such as scikit-learn, PyTorch, and Tensorflow
Experience creating and using advanced machine learning algorithms and statistical models: regression, simulation, scenario analysis, clustering, decision trees, neural networks, etc.
Effective at data visualization and storytelling geared towards both technical and non-technical audiences
Familiarity with graph data science algorithms and graph databases (Neo4j, AWS Neptune)
NICE-TO-HAVE SKILLS
Advanced degree in Computer Science, Statistics, Machine Learning, or a related field
Experience working within a variety of different technical environments
Experience with Tableau or similar data visualization tool
A love of games
Listed below is this role's base pay range within the greater Seattle area, In other locations that Bungie has approved for remote work, this pay range may be adjusted up to +/- 10% and some roles may be classified as non-exempt (hourly).
This range is determined by an array of factors, including training, transferable skills, work experience, business needs, and market demands. Additionally, it is subject to change and may be modified in the future.
Bungie employees also receive:
Annual Paid Time Off (PTO) and/or Sabbatical (SAB) based on position level
L13-L15: 20 PTO days
L16-L17: 15 PTO days / 5 SAB days
L18+: 10 PTO days / 10 SAB days
10 paid Floating Days annually, prorated in the first year of employment based on start date
10 paid Bungie-observed holidays each year
One hour of Paid Sick Time (PST) for every 30 hours worked
In the journey to make incredible worlds, Bungie employees don't simply do meaningful work - they receive meaningful support. Competitive salaries and discretionary bonus opportunities are just the start. We offer comprehensive healthcare coverage, generous 401(k) matching, flexible time off policies, paid parental leave, social clubs, and so much more. Check out our benefits page:Benefits - Bungie Careers to see all the perks that come with joining Bungie.
Washington State Pay Range
$160,000—$189,000 USD
So you don't meet every requirement listed in this job description? Do you think your experience level is not where it needs to be? Studies show that women and people of color are less likely to apply to jobs unless they believe they meet every single qualification. Bungie is focused on building a diverse, inclusive, and equitable workplace. If you're interested in this position but your past experience doesn't line up perfectly with every qualification in the job description, we want you to apply anyway. The right role for you may be right around the corner!
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.
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Analyst Baseball Research Development R D | Washington Nationals |
Summary:
The Washington Nationals are seeking an Analyst to join our Baseball Research & Development team. The analyst will use data science to derive insights from baseball datasets to support player evaluation, player development, and in-game strategy. The analyst will report to the Director of Baseball Research and largely work on long-term research projects. Collaboration is a critical part of working on the R&D team, including informal interactions, as well as weekly analyst meetings and regular code reviews. Analysts must also be able to communicate clearly with members of departments across baseball operations, including technical and non-technical audiences. Our department is flexible enough to accommodate candidates with specialized strengths or areas of interest, but we are seeking applicants with general ‘baseball feel’ and data science experience.
Essential Duties and Responsibilities:
Research specific areas of the game using statistical modeling
Build and maintain these models and take ownership of their results
Communicate findings through written reports, presentations, and informal conversations
Develop deep understanding of existing body of R&D team’s research, code base, and database. Take on some responsibility for improving and maintaining existing projects
Design and build informative data visualizations for use in automated reports or internal web applications
Perform ad hoc analyses on questions that come to Baseball R&D from across the organization
Requirements:
Minimum Education and Experience
Experience analyzing datasets and training statistical models using R, Python, or equivalent
Has an undergraduate or graduate degree from a four-year college or university, preferably in Data Science, Statistics, Mathematics, Computer Science, or related field
Authorized to work in the United States
Knowledge, Skills, and Abilities Necessary to Perform Essential Functions
Ability to complete long-term statistical modeling projects and incorporate technical feedback
Proficiency in technical report composition
Clear writing and communication
Enthusiasm for learning new skills related to programming, statistical modeling, and data visualization
Passion for baseball and desire to work in baseball operations
Working knowledge of sabermetric concepts
Physical/Environmental
Attend approximately half of the Nationals home games (meals provided)
Ability to work occasional weekends and/or evenings during the baseball season
All applicants for employment at the Washington Nationals are required to be fully vaccinated against COVID-19 prior to commencing employment. Applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment. Applicants with qualifying disabilities or bona fide religious objections may be exempted from this requirement or otherwise accommodated if they are unable to be vaccinated.
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Associate Data Scientist Product Security New Grad Early In Career | Bungie |
Bungie is seeking an Associate Data Scientist to join our newly formed Machine Learning team. In this role, you will embed within and directly support Bungie’s Product Security group, working closely with analysts and engineers to reduce the impact of bad actors in Bungie games.
At Bungie, we build worlds that inspire friendships, and the Product Security team exists to keep those worlds and our players safe. Protecting players in a rapidly changing threat landscape requires machine learning automation, data driven discovery, and careful analysis of a dynamic online global ecosystem. To this end, you will leverage your experience in data analysis, data science, and engineering to build security services that protect Bungie players and track emerging threats. Most importantly, your work will be essential to developing unmatched entertainment experiences that inspire friendships and lifelong memories.
ELIGIBILITY REQUIREMENTS
A recent graduate from a U.S. college, university, or related program within 12 months from October 2022
Planning to graduate in Fall 2022 through Spring 2023OR
Moving from primarily learning to primarily working within 12 months
Transitioning from one craft, function, or discipline to a new one within 12 months
RESPONSIBILITIES
Work in a small team (3-5 people) to maintain aspects of game security in a live environment
Deploy machine learning services end-to-end in a cloud environment
Respond to a dynamic security landscape by rapidly building deep learning models
Communicate the results of your analyses to both technical and non-technical colleagues
REQUIRED SKILLS
Proficiency in Python and SQL
Knowledge of machine learning frameworks such as scikit-learn, PyTorch, and Tensorflow
Effective at data visualization and storytelling geared towards both technical and non-technical audiences
NICE-TO-HAVE SKILLS
A degree (or equivalent experience) in Computer Science, Statistics, Machine Learning, or a related field
Experience working within cloud-based infrastructure
Experience with computer vision, time-series modeling, or anomaly detection
Experience with unsupervised learning, self-supervised learning, or training large language models
A love of playing video games
Listed below is this role's base pay range within the greater Seattle area, In other locations that Bungie has approved for remote work, this pay range may be adjusted up to +/- 10% and some roles may be classified as non-exempt (hourly).
This range is determined by an array of factors, including training, transferable skills, work experience, business needs, and market demands. Additionally, it is subject to change and may be modified in the future.
Bungie employees also receive:
Annual Paid Time Off (PTO) and/or Sabbatical (SAB) based on position level
L13-L15: 20 PTO days
L16-L17: 15 PTO days / 5 SAB days
L18+: 10 PTO days / 10 SAB days
10 paid Floating Days annually, prorated in the first year of employment based on start date
10 paid Bungie-observed holidays each year
One hour of Paid Sick Time (PST) for every 30 hours worked
In the journey to make incredible worlds, Bungie employees don't simply do meaningful work - they receive meaningful support. Competitive salaries and discretionary bonus opportunities are just the start. We offer comprehensive healthcare coverage, generous 401(k) matching, flexible time off policies, paid parental leave, social clubs, and so much more. Check out our benefits page:Benefits - Bungie Careers to see all the perks that come with joining Bungie.
Washington State Pay Range
$102,000—$128,000 USD
So you don't meet every requirement listed in this job description? Do you think your experience level is not where it needs to be? Studies show that women and people of color are less likely to apply to jobs unless they believe they meet every single qualification. Bungie is focused on building a diverse, inclusive, and equitable workplace. If you're interested in this position but your past experience doesn't line up perfectly with every qualification in the job description, we want you to apply anyway. The right role for you may be right around the corner!
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.
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Principal Machine Learning Scientist Search Recommendations | System1 |
System1 is looking for an experienced machine learning researcher and practitioner to join our data science and machine learning team as a Principal Machine Learning Scientist supporting the Search & Recommendations team. This is a senior individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.
The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.
With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!
The Role You Will Have
Provide both hands-on/individual contributor support and technical thought leadership in the development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
Maintain expert knowledge in the latest in machine learning with an emphasis on emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
Coach and mentor data scientists to elevate the talent bar across System1
What You Will Bring
Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
5+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts/teams
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members
What We Have to Offer
Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote
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Senior Machine Learning Scientist Search Recommendations | System1 |
System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the Search & Recommendations team. This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.
The ideal candidate will have experience researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.
With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!
The Role You Will Have
Hands-on development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
Research the latest in machine learning for emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Contribute to the development of System1’s roadmap for core machine learning capabilities
What You Will Bring
Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
2+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts/teams
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
What We Have to Offer
Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote
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Senior Machine Learning Scientist Ai Automation Optimization | System1 |
System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the AI Automation & Optimization team. This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.
The ideal candidate will have experience designing and building algorithms to automate and optimize planning and decisioning for complex dynamic systems with imperfect information. You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk.
With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!
The Role You Will Have
Hands-on development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities
Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
Build expert knowledge in computer science, machine learning, data mining, reinforcement learning, large-scale robust optimization techniques and more
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Contribute to the development of System1’s roadmap for core machine learning capabilities
What You Will Bring
Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
2+ years of experience researching & developing algorithms for intelligent automation and optimization systems
Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members
What We Have to Offer
Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote
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Data Scientist | Superdispatch |
Super Dispatch is looking for an experienced Data Scientist to support the Product, Engineering, and Marketplace Operations teams by building reliable prediction solutions that can help Super Dispatch customers move cars faster. You will analyze and understand customer data, collaborate with other teams and departments, and improve existing recommendation and prediction engines. This is an exciting opportunity for an experienced data scientist to work on innovative solutions for our SaaS enabled marketplace.
What We Do:
Super Dispatch is one of the fastest growing tech startups in Kansas City, and we're transforming the world of vehicle shipping. The Super Dispatch platform is a one-stop-shop for everything Carriers and Shippers need to move cars faster, smarter, and easier. Backed by cutting edge technology and best-in-class software, Super Dispatch is the advanced auto transport experience taking carriers and shippers into the future.
Who We Are:
Our diverse team is comprised of highly motivated professionals with a passion for solving big problems with technology. Our core values are built around learning, growing, evolving, and continuous experimentation. We believe and practice taking bold risks. We embrace failure as a lesson. We put our team first. We are committed to supporting each other and helping each other grow on this journey.
Responsibilities:
Build and evolve transformative, real-time marketplace pricing engines based on machine learning and reflective of dynamic market conditions
Improve existing recommendation or prediction engines by collaborating with key stakeholders (internal and external)
Develop a deep understanding of the overall business of Super Dispatch and the Auto Transport industry
Improve machine learning models to deliver reliable and scalable solutions
Collaborate with other departments and teams to improve data collection, process and error handling, and data normalization
Provide thought leadership on data science to Product and Engineering Teams with best practices
Collaborate with Marketplace Operations and Data Teams to identify and resolve issues using data science and machine learning methodologies
Candidate Profile:
Curious - you ask questions and are eager to learn.
Analytical mindset - you are able to structure and process data and draw insightful conclusions from it.
Systematic thinker - you can balance big picture strategy with details, you have strong execution and delivery.
Problem solver - you have solved complex problems and have the aptitude to navigate uncharted waters.
Team player - you have a collaborative mindset, the ability to work with cross-functional teams, and build positive relationships with individuals across the organization.
Growth driven - you are willing to learn new tools and technologies to work effectively in a rapid growth environment with changing needs and requirements.
Self motivated - you work independently and take initiative.
Candidate Experience:
2+ years experience in a data scientist role, preferably working on a recommender system
2+ years of professional experience synthesizing insights from data using Python and SQL
2+ years experience with Machine Learning Frameworks (Tensorflow and/or PyTorch) and their real world applications
Experience working with AWS or GCP preferred
Summary of Benefits:
Stock options
Unlimited Vacation (PTO)
401k with company match
Health, dental, vision, and life insurance
12 weeks of paid parental leave
Fully remote/work from home role
Growth opportunities
Gym membership/wellness stipend
Equipment provided
The salary range for this position is $100k - $120k annually.
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Senior Data Scientist Advertiser Optimization Analytics | Reddit |
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Advertiser Optimization product team on launching new products to improve ad performance and advertiser ROI . You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to drive ad performance.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place. We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
How You’ll Have Impact:
Partner with the product engineering team working on Advertiser Optimization. Providing thought partnership on products like Auto-Bidding, Budget Pacing, and Ad Level Optimization.
Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
Drive product-oriented research projects to identify new opportunities for the Advertiser Optimization team to pursue
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
What You’ll Do:
Act as an owner by partnering with the Advertiser Optimization team on product development
Become an expert on advertiser optimization at Reddit - designing & analyzing experiments to test improvements to optimization algorithm
Build KPI reporting & ETLs to track the performance of Reddit’s Advertiser Optimization team
Learn about Reddit’s ad optimization & ranking algorithms and research how they could be improved
Collaborate with Product Marketing Managers to develop go to market strategies and drive product adoption
Partner with the Ads Engineering team to understand new data & schemas and ensure the data we log in new ads products is accurate
Who You Might Be:
4+ years of experience in data analytics or related quantitative role
Influence and guide product strategy with data
Able to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising & ads marketplaces
Our Commitment to DEI At Reddit, we evaluate all candidates on the basis of their ability to meet stated job requirements. We do not discriminate against candidates on the basis of sex, gender, marital status, religion, nationality, or other personal characteristics. In keeping with our commitment to supporting a safe and inclusive workplace, we strongly encourage candidates from traditionally underrepresented backgrounds to apply.
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Senior Data Scientist Ads Optimization Ml | Reddit |
We are looking for a Senior level Machine Learning Data Scientist to build new ML products to improve ad performance and advertiser ROI. You will work closely with engineers and product managers from the Advertiser Optimization team to up-level the current Budget Pacing system, build ML-based auto-bidding products, as well as develop reinforcement learning models for dynamic creative optimization (Ad Level Optimization). This person is an industry technical leader in the online ads marketplace optimization domain with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:
You will dive deep into the Budget Pacing system and help the team identify efficiency gaps and areas for improvement. You will research and develop ML-based PID controllers and auto-bidding products to improve advertisers’ performance.
Research, design, and develop contextual bandit models or similar reinforcement learning techniques for dynamic creative optimization (DCO) that can improve ad performance and bring more value to advertisers, especially for Shopping Ads.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models.
Serve as a thought-partner for product managers, engineers, leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
What We Can Expect From You:
Relevant experiences in ads marketplace.
Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Operations Research, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor’s degree, a minimum of 2+ years of industry data science experience).
Proficiency in at least one of the areas: operations research, operations management, control theory, reinforcement learning, statistical modeling, and optimization.
Deep understanding of online experimentation and causal inference.
Strong analytical and communication skills.
Strong skills in programming (Python or R) and SQL.
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Data Scientist | Logrhythm |
As a Data Scientist on our BI & Analytics team, you will leverage your experience and creativity to design and implement solutions that provide insight into customer and operations analytics and drive actionable results for the Customer Success organization. You will design and implement enhancements to our existing BI capabilities to identify customer behavioral trends, isolate retention risks, and correlate retention playbooks with churn reduction. As the senior technical member of the team, you will take a lead role in recommending technologies and processes to mature our operations.
Job Functions
Exercise thought leadership and discretion in identifying business needs that can be improved with analytics and designing solutions with the data and tools available
Execute the complete analytics lifecycle for problem solving, including:
· requirements gathering
· problem formulation
· data grooming
· data exploration
· model prototyping
· model validation
· algorithm productionalization
Survey varied data sources for analytic relevance, including:
· distributed file systems
· relational databases
· flat files
· external sources
Interpret, synthesize, and communicate results of analyses to effect action and changes within the organization
Collaborate across teams to integrate analytic products with existing production architectures, develop execute and evaluate courses of action, and socialize results
Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds
Drive efficient and effective solution design in tailoring the tools, approaches, and data used to meet the needs of the particular problem
Perform other duties as required
Essential Qualifications
· Ability to read, write, speak, and understand English
· Strong communication and presentation skills
· Expert-level skills and experience with Scala, Python, R, Matlab, or other analytics languages
· Experience with relational databases
· Expert-level quantitative analysis skills including interpretation of model results, consideration of causality, treatment of multicollinearity
o Broad experience and solid theoretical foundation on the modeling process using a variety of algorithmic techniques, including Machine Learning, and Graph/Network Analytics
· Data pre-processing, exploratory data analysis using a variety of techniques
· Basic understanding of data architecture, data warehouse and data marts
· Demonstrated ability and desire to continually expand skill set, and learn from and teach others
Desired Qualifications
· Experience with BigData tools, particularly HIVE, Spark, Spark Streaming, and GraphX
· Experience with Linux based operating systems
· Experience with advanced analytics libraries in Python such as numpy, sci-kit learn, and pandas
· Knowledge of other relevant techniques such as text analysis and text mining
· Operations-research background, focused on large labor operations such as field ops, technical support, and sales
Benefits:
LogRhythm offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical
· Dental
· 401k plan
· Flexible time off
· Vision
· HSA
· FSA
· EAP
· Birthday Day off
Salary:
The annual starting salary for this position is between $140K- $150K depending on experience and other qualifications of the successful candidate.
Bring your Whole Self to Work!
Diversity, equity, and inclusion are at the core of who we are. At LogRhythm, we know that diverse perspectives spark innovation, improve creativity, and position our team for success. Creating a culture where all are welcomed, valued, and empowered to achieve their full potential is important to who we are today and in the future. We hire the best of the best and do not discriminate based on race, gender, age, religion, sexual orientation, identity, or other personal factors.
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Decision Science Analyst Senior | Usaa |
Purpose of Job
We are seeking a talented Decision Science Analyst Senior for our San Antonio Corporate office or remote work environment available.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change Translates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)•Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.6 years of experience in a decision support analytic function; Or Advanced degree in relevant discipline with 4 years experience in a decision support analytic function.Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Preferred Experience:
Experience implementing emerging technology and techniques for analytical purposesPrior digital marketing analytical experience in Insurance or Banking; knowledge of marketing analytical process and measurement frameworkAbility to work on multiple projects in a fast-paced environment with limited supervisionStrong relationship management and negotiation skills; ability to influence senior leadership and drive business resultsTesting experience – designing, leading, executing, and analyzing results
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*( this does not include geographic differential it may be applied based on your work location)
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
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Data Scientist I | Usaa |
Purpose of Job
We are seeking a talented Data Scientist I for the San Antonio Home Office II/III, Tampa Campus, Phoenix Campus, Colorado Springs Campus, Plano Campus or 100% Remote Work Location Available.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Strong Python, SQL skills.Relevant banking domain knowledge in Retail Banking, Real Estate, Omni, Fraud & Central Ops is a plus.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision.Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB
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Machine Learning Researcher | Brave |
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
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Senior Data Scientist | Fast |
Build the world's fastest Identity and Checkout products
Company Mission
Our mission is to make buying online faster, safer and easier for everyone. Fast Login and Fast Checkout enable a one-click sign-in and purchasing experience that makes it easier for people to buy and merchants to sell. The company’s products work on any browser, device or platform to deliver a consistent, stress-free purchasing experience. Fast is entirely consumer-focused and invests heavily in its users’ privacy and data security. Headquartered in San Francisco but open to a globally remote workforce, we are a founders-led, privately held company funded by Stripe, Index Ventures, Susa Ventures and other world-class investors.
We are committed to diversity and inclusion, and demonstrate our values through equitable pay, fantastic benefits, and access to all reasonable accommodations.
Summary
We’re looking for a Senior Data Scientist to join the best Data Science and Analytics team! As a Senior Data Scientist, you will partner closely with both technical and non-technical teams to design metrics, build models, conduct comprehensive analysis, and run experiments to measure the impact of new initiatives.
Role
Work with cross functional stakeholders to scope data science projects and drive the project from start to finish
Develop scalable, efficient automated pipelines to process massive datasets, identify patterns from various data sources and produce actionable insights
Build statistical models to improve our understanding of user behavior and predict future performance
Be a thought partner to business leaders in determining quantitative success and process improvements
Design, implement, and analyze A/B experiments to measure the impact of product changes
Create dashboards and reports with effective data visualizations
Requirements
5+ years of data science experience
5+ years in SQL and one scripting language (Python/R)
BS in quantitative field (e.g. Statistics, Economics, CS, OR), or equivalent experience
Strong knowledge of experimentation and statistical methods
Skilled at leading DS projects and taking initiative
Skilled with data visualization tools (Looker, Tableau, Jupyter Notebook)
Knowledge of building data pipelines (e.g. dbt, airflow)
Communicative with team members, thought partners, and others
Bonus
Advanced degree in a quantitative field
Experience in e-commerce
Previous mature startup experience
Benefits and Perks- Because People Matter
Comprehensive insurance (paid 99% by the company) with no deductible, and 10 dollar copays
Globally remote with flexible work schedules to fit your needs
Generous parental/family leave for all caregivers- available at any time within 12 months after the new family member joins you
401k with match up to 4%
Equity grant
People-focused PTO that you determine- time off is there when you want it, when you need it
Frequent inclusive events scheduled to allow everyone to express their voice (or dance skills)
Monthly exercise and internet stipends---and snacks
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Game Data Scientist | Mythical Games |
We are Mythical Games. A venture-backed next-generation game technology company at the intersection of video games and economics led by industry veterans. Our goal is to lead the industry with the launch of exceptional video game experiences that leverage distributed ledger technology while also providing a platform of robust tools that will allow any other game developers to do the same.
We are looking for a highly-skilled Game Data Scientist to dive into diverse data and derive insights using appropriate tooling for the job. In this role, you will work with multiple parts of the business to identify improvements and influence our product direction. Actionable insights will need to be presented in a clear and supported way.
COVID-19 Hiring Update: We’ve transitioned to a work-from-home model and are continuing to interview and hire during this time. This role is expected to begin as a remote position. We understand each person’s circumstances may be unique and will work with you to explore possible interim options.
Duties and Responsibilities:
Influence Mythical’s game and NFT marketplace products through data-centric reports and presentations to appropriate stakeholders
Build predictive machine learning models to anticipate a customer’s future behaviors based on existing events
Create additional data models on top of our existing BigQuery data warehouse as needed
Gather requirements from internal/external customers to clear frame data analysis projects and their estimated impact
Build and improve data tooling in partnership with internal data teams
Requirements:
Bachelor’s Degree in a technical field
3+ years in a quantitative analytical role in technology or consulting companies
3+ years of experience with SQL and a programming language for data analysis (e.g., Python, R)
2+ years of experience building machine learning models for predictive use cases (e.g., Tensorflow, Scikit-learn, Kubeflow),
Excellent communication skills and a drive for continuous learning
Pluses:
Industry experience with video games, marketplaces, or digital marketing
Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to [email protected]. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.
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Data Science Manager | Taskrabbit |
TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.
TaskRabbit is a remote-first company with employees distributed across the USA!
DataBird journal‚Äôs ‚ÄúBest Places‚ÄĚ Best Companies for Diversity, #1 2019 and 2020
DataBird journal‚Äôs ‚Äú Best Places‚ÄĚ Best Companies for Women, #4 2019 and #1 2020
 
About the Job
Data Science and Analytics are the lifeblood of TaskRabbit and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning, and Data Engineering.  We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a Data Science Manager, you will work closely with a cross-functional team of product managers, marketing managers, designers, and engineers. You will manage a midsize team of data analysts and product data scientists responsible for applying various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties.  By partnering with business units, you will translate problems into analytical requirements, and work with your team to come up with data-driven solutions. You will provide insights and recommendations, conduct advanced experiments, assist in defining metrics and translate data into insights that would improve the product, marketing, and operational metrics.
Join us in creating a better everyday life for everyday people.
 
Responsibilities:
Manage, hire, train, and develop a group of data scientists and analysts 
Participate and guide all aspects of the project lifecycle from requirement gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science product
Conduct open-ended data exploration to answer product questions and design controlled experiments to enable decision making as we iterate on solutions 
Craft compelling stories and make logical recommendations based on a thorough understanding of data and predictive models created on top of that
Propose projects including business objective, data gathering and processes, approaches, algorithms, and detailed set of results and metrics
Collaborate with data engineers to improve data preparation/cleansing/ETL pipelines
Formulate statistical questions to address business needs
Provide thought leadership on metrics, features, and product usage
Develop strong cross-functional partnerships  and facilitate data-driven decision making across the organization 
Build statistical and predictive models, reports, and dashboards to support business and achieve goals
 
Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.
MS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years of experience with building a strong data science and analysts team, helping team members realize their full potential, and influencing the team culture
6+ years of real-world industry experience in building predictive and statistical models including regression, classification, forecasting, and clustering 
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, controlled experiments design, and sampling methods 
Ability to translate high-level business objectives into actions
Excellent communication skills, both written and oral; with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Strong programming background, with extensive experience in Python and SQL
Experience with Looker, Tableau, or similar tools is a plus
 
Bonus Points
Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen.
We're looking for people that have a passion for data, technology, and problem-solving
You're familiar with our product and have some ideas on things you'd want to add or change!
 
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work. 
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
 
You’ll love working here because:
TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse 
The Values. 
Care Deeply. We take time to be present and partner with our team and communities. 
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.
Lead The Future Together. We value entrepreneurship and are inspire by action.
The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.
The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching,  generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office
 
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. 
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. 
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Senior Data Scientist | Reddit |
"The front page of the internet,” Reddit brings over 500 million people each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
The mission lies at the core of Reddit's success as a platform: we build features that encourage engagement and belonging, enabling smooth and effective community and content creation, enabling our content creators, and applying a growth framework to activate new communities equipping moderators with the tools they need to succeed. These teams drive several key product metrics for the entire Reddit platform.
This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.
What You’ll Do:
Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
Collaborate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor junior engineers on the team to grow their technical expertise.
Continuously learn and improve your technical and non-technical abilities.
Who You Might Be:
At least 3+ years of software development experience in one or more general-purpose programming languages; Go, Python, Rust, C++, Javascript, Typescript
Experienced with GraphQL, REST, HTTP, Thrift basics, and the ability to design and implement maintainable APIs is a plus.
Experienced with distributed caching layers, and distributed large-scale data storage systems like Cassandra or Redis
Strong organizational and communication skills, the ability to prioritize tasks and keep projects on schedule discussing complex topics with technical and non-technical audiences.
BS degree in Computer Science, a similar technical field of study or equivalent practical experience.
You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure.
Leveling will depend on the right experience and duration in the space.
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Senior Data Scientist Growth Analytics | Krisp |
About Krisp:
At Krisp, we are developing and launching applications that enhance professionalism and productivity of employees and contact center agents. Krisp mutes background noise bi-directionally during calls and is the only software available in the market to do so as an application, becoming a virtual microphone and speaker within Windows, Mac OS and VDI. We are out front leading this market, with partners and customers including Chase, Concentrix, Discord and many others. Our team is defining the future of how remote employees vastly improve their voice and video communications.
Krisp is an award winning product, loved throughout the world. In 2020, Krisp has been recognized as:
Forbes AI 50 most promising AI startupForbes Cloud 100 Rising StarTIME 100 Best InventionsGartner Cool Vendor
Location:
Europe, Remote
We are a remote-first company, so you can work from anywhere. For this role we prefer to have an overlap of at least 4 hours with GMT+4 timezone.
The Role:
As a Senior Data Scientist, you will work directly with our Data Analytics Manager as part of our growing analytics team. You will be working closely with the key stakeholders from product, growth, marketing and sales teams to unlock the next stage of Krisp's growth.
This is an exciting opportunity to further build the data science function at Krisp and cultivate a data-driven culture! You will have a direct influence in growth, product, marketing and strategy initiatives. If you are intellectually curious, a creative non-linear problem solver, passionate about building compelling dashboards, sophisticated statistical and predictive models and eager to influence decision making, we'd love to have you in the team!
What You'll Do:
Measure the impact of growth, product and marketing initiatives and identify growth and optimization opportunitiesGenerate insights about the user's journey aiming to optimize conversion rates, evaluate performance, and design and analyze experimentsPartner with cross-functional teams on data-informed hypotheses that will drive experiment design and analyze causal relationshipsDevelop a thorough understanding of traffic, funnels, conversion rates and user behavior using large events dataApply machine learning models for predictive analyticsDesign and develop metrics, create insightful automated dashboards and data visualization to enhance decision makingWork with analytics engineers and data analysts to create new data models, feature and metrics stores and explore new data sources to add to our data warehouseInitiate new and innovative approaches to make data products actionableSee beyond numbers and help to inform, influence, support, and execute business decisionsTake initiative to always ask why - question the questionable and the unquestionable to find answersProvide expertise on data science concepts for the analytics team and inspire the adoption of data science across many functions of the company.
What We’re Looking For:
A graduate of a quantitative discipline3+ years of relevant working experience in data science or analytics, preferably in a fast-paced companyStrong programming skills, preferably in Python (Data Science libraries) and SQLPractical experience of building compelling dashboards using BI tools (e.g. Tableau)Expertise in advanced analytical techniques, statistical analysis and predictive analytics using MLBusiness savvy and ability to think strategically and act judiciously to solve business problems through the use of dataHave an attention to detail and desire for end-to-end ownership of deliverablesSelf-motivated, proactive and autonomous; comfortable working in a fast-paced environmentCollaborative with a positive attitude and strong sense of empathyFluency in English
Nice to haves:
Experience with SaaS metricsExperience with PySparkExperience in analytics engineering with dbtKnowledge of version control and GitHub actionsFamiliarity with agile development framework.
Benefits at Krisp:
Stock optionsLearning and development assistanceHealth, dental and vision insurancePaid Time Off and Sick Time OffPaid Parental LeaveMaternity Leave Top-upGym reimbursementReferral bonus programWork from forest (Remote work initiatives)
Krisp is an Equal Opportunity Employer:
All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We do not tolerate discrimination or harassment of any kind. All employees and contractors of Krisp treat each other with respect and empathy.
How to Apply:
All interested candidates are encouraged to submit their applications.
Check out the rest of open positions.
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Senior Manager Data Science And Analytics | Kit Check |
Join us as we revolutionize the hospital pharmacy landscape!
Our mission is to wow customers with smart, elegant solutions that help healthcare providers increase efficiency, safety and visibility from manufacturer to bedside.
Our 'vibe' is start-up, but we already have over 700 customers who are tracking medications using our proven solutions. If you have a knack for making complex things simple and an interest in the practical application of artificial intelligence and IoT technologies, we have a place for you!
Kit Check is looking for a leader to help us redefine and grow our suite of healthcare data capabilities to further the company's mission of "Medication Intelligence". Our hospital and pharmacy customers rely on us to keep their patients safe and their pharmacies running smoothly while delighting them with every release. By streamlining their pharmacy's daily routines with our RFID inventory management solution and reducing risk and enhancing their compliance with our controlled substance tracking platform, we're committed to improving medication management for our nation's healthcare providers, and our data operations and products are the backbone of our offerings.
The opportunity:
Kit Check is growing rapidly and we’re creating a data team that brings together our data scientists, and a small and growing data engineering function. You’ll be leading a team that provides intelligence to our product teams, data products to customers, as well as building predictive models that power some of our core products. A successful candidate is a great people leader, a self-starter, has a track record of leading data teams that implement and operate Data services at scale, and collaborates across teams. Ideally, they come from either a data engineering or data science background as an IC. This is a unique position in that data is our product, and you’ll be leading the team tasked with analyzing our data, integrating the algorithms, and creating visualizations in production systems. This work will have a direct impact on hospital pharmacies, by providing actionable insights that reduce drug spend, increase medication safety and compliance, and maximize staff productivity.
You can expect to:
Hire top-tier engineering talent. You understand the importance of building an amazing team and its value.
Assist in technical design, data QA and ensure ease of use for the end-users
Assist in developing solutions to support the automation of ongoing reporting and analytical needs
Coach and guide the data team through regular feedback.
Vision: You intuitively understand business, analytics, and technology, and you leverage that to guide a team by providing relevant context and inspiration.
About you:
Prior experience in engineering management
You have a Bachelor’s degree or equivalent experience in a quantitative or data-intensive field - Computer Science, Engineering, or a similar discipline
Former IC experience in either predictive modeling, machine learning, or data engineering
Fluent in creating visualizations and Business intelligence reports. Can advise the team on ideal communication methods for technical and non-technical audiences
Expert-level SQL (MySql, Redshift, Presto)
Proven prior experience leading inclusive and diverse teams, mentoring data scientists or engineers, and creating practices that help data teams mature
Great analytical, critical thinking, and problem-solving abilities in fast-paced environments
Passionate about, and knowledgeable in, distributed data processing patterns
Demonstrable EQ in communication and feedback that helps to build trust, resolve conflicts, and provide feedback
Ability to present results, in written and verbal mediums, to both non-technical and technical audiences
Experience with data reporting technologies (e.g Snowflake, RedShift, Data lakes)
Instill a DevOps culture within teams, deliver mature systems that are highly available, resilient, and maintainable
A product and technical vision and a track record of cross-functional collaboration to build out that vision
Consistent record in unblocking teams and projects, delivering against a data team roadmap
Ability to draw insights from data and clearly communicate them (verbal/written) to cross-functional partners and senior leadership as required
Nice to have:
Experience in healthcare working with PHI or other sensitive data
Knowledge of hospital data systems (e.g. EHR, ADS, purchasing, etc.)
Knowledge of the pharmaceutical supply chain
Experience programming in Python, R, or other data-stack programming languages
What you'll get from us:
Opportunity to build a data team culture within the organization, and to shape a data team that has already built an industry-leading product.
Opportunity to use and explore new use cases for machine learning to aid in tackling the opioid crisis, help guarantee patient safety, and improve the efficiency of hospital pharmacy staff
A strong voice in what we work on, how it works, and how we build it
Room to be creative
Trust in your sense of ownership
Dedicated budget for training and career development
Coworkers you'll learn from and who are eager to learn from you
Our culture
Kit Check’s culture is built on collaboration and innovation. There’s room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry—and have fun while doing it.
Interested?
If helping us define new data-driven medication intelligence products as well as improving products that have a great track record with our customers sounds like the opportunity for you, we'd love to talk!
This position is a remote position and open to applicants in the continental United States.
Why Kit Check?
We truly believe that where you work matters and we want happy employees. So join us on our mission – we intend to have a heck of a good time as we get there.
-Competitive salary
-Time off when you need it – unlimited vacation days!
-Generous insurance coverage
-401k program with a company match
-Employee stock options
-Fun, collaborative culture!
Equal Opportunity Employer Veterans/Disabled
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Director Of Data | Roc 360 |
Roc360 delivers innovative products that make it easy for everyone to renovate, own, or invest in homes. We are both a leading capital provider to residential real estate investors and a pioneer in developing and applying cutting-edge data science to this field.
Roc360’s existing data science team has facilitated the acquisition and renovation of almost 15,000 homes through our digitally connected network of 7,000 renovation professionals and hundreds of local businesses. Roc360 is one of the few entities well-positioned to address both supply-side and demand-side challenges in the US housing market, with the capital to fund professional, experienced flippers, and a technology platform designed to identify investment opportunities with the greatest potential. Roc360’s core strength is in taking tools and approaches from quantitative trading and successfully applying them to finding the best borrowers in the fix-and-flip world.
Director of Data
Roc360 is looking for a Director of Data to lead our team of data scientists and engineers through our next phase of rapid growth and product expansion. As a member of the leadership team, you will collaborate in setting our company goals and objectives for transformative growth. Your primary responsibility will be the day-to-day management of our data team; you will also work closely with the engineering, marketing, and sales teams to support their work and maintain a great team culture. This full-time role reports directly to Roc360's COO and can be based in NYC or remote (with some travel to NYC).
As the Director of Data, you will:
Set data strategy for all of Roc360 in collaboration with the executive team
Lead the data team, leveling it up in terms of business impact, infrastructure, sophistication, and team growth
Deliver predictive models, analyses, and research for new and existing Roc360 products
Work with internal business and product leaders to identify opportunities for data team to drive impact
Grow the data team to meet needs of Roc360's business
We are looking for someone with:
5+ years experience working in data science or related field
2+ years data team management experience (Data Science, ML, Software Engineering)
Ability to identify and prioritize important, solvable problems and articulate them to the team
Deep curiosity and enthusiasm for the opportunity to leverage data in residential real estate
Proficiency working with statistical programming (Python, R) and database querying languages (SQL), machine learning algorithms and modeling
Experience collaborating with professionals from other disciplines, especially finance, investment, product, or marketing
Commitment to fostering a culture of inclusion, where team members are valued and respected for their individual strengths and experiences
Roc360 is actively seeking candidates with unique and diverse work backgrounds to grow our team. We are especially excited to talk to you if have:
Domain experience in real estate and renovation
Experience working with location data, computer vision, or NLP
Experience scaling up a team in a startup or high-growth environment
Experience defining career growth paths for data scientists, engineers, and/or analysts, including both management and individual contributor roles
Roc360 is a global team of professionals committed to improving the residential real estate ecosystem. The core team has worked together for over 20 years, combining an entrepreneurial spirit, research-driven investment strategies, and a common-sense approach to lending. We offer our employees best-in-class benefits, including comprehensive health, vision, dental & retirement plans, including 401k matching.
As we have grown our team to 250 employees across 4 continents, our main focus has been to find hardworking people who are excited to make an impact. Roc360 is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
Learn more about careers at Roc360 here.
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Staff Data Scientist Energy Sustainability | One Concern |
About One Concern
One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.
The Role
One Concern is growing rapidly and we are looking for a passionate, mission-driven Staff Data Scientist, Energy & Sustainability to join our team.
This role requires specialized skills in energy, renewables, climate, and energy financing domains; and an ability to understand the customer needs and industry trends. Energy & Climate Solutions Strategist will work with the customers and multidisciplinary teams in the US and Japan to develop the strategy and specifications for our solution for various customers.
What You’ll Do
Develop technical specifications for evolving One Concern’s products and solutions for climate risk adaptation, energy resilience, sustainability, and financing, targeted at enterprises, insurers, banks, asset managers, and cities.
Work closely with various cross-functional teams at One Concern (Solutions, Data Science, Engineering, Product Management, and Business Development) to design and build innovative and practical solutions and product offerings.
Drive innovation within One Concern to stay ahead of client needs and to differentiate our offerings in the market.
Help One Concern evolve its current value proposition for climate adaptation and energy resilience with our target clients across sectors by being active in the market, listening to clients, developing new service offerings, and delivering high-quality and impactful solutions to our clients.
Keep up-to-date on the latest sustainable and resilient energy technologies and their financing methods, climate and energy risk financing market trends, and public-private partnerships approach.
Conduct quantitative research, business, and financial analysis for new opportunities in the resilient energy space, climate adaptation, and financing markets, and identify relevant use cases for the applications of the One Concern resilience platform of those markets.
Support the Solutions Team in presenting new sustainable and resilient energy alternatives and financing solutions to client decision-makers, including (re)insurance managers, asset managers, enterprise CROs and CFOs.
Interact with customers to understand the requirements, field technical questions, and provide details on our technical solutions.
Create customer-ready materials to position One Concern solutions to the customers successfully.
Qualifications & Experience
At least five (5) years of relevant experience in renewable energy technologies, and their associated advantages, risks, and financing mechanisms.
Demonstrated experience of working on sustainable energy and climate adaptation approaches and financing options for enterprises (via financial instruments like loans, bonds, insurance a plus).
At least (3) years of experience analytically assessing resilience, sustainability, and ROI of energy solutions ( (re)insurance, catastrophe modeling, or actuarial experience domains a big plus).
MS or Ph.D. degree in Environmental Engineering, Energy Engineering, Computer Science, Finance, Economics, Mathematics, Actuarial Science, Statistics, Engineering, or a related technical field.
Demonstrated experience of working on new solutions working with customers and teams in a multidisciplinary environment, preferably in energy and/or climate space.
Strong communication, quantitative and analytical skills.
Creative, innovative mindset for identifying and solving open-ended problems.
High willingness and flexibility to travel (domestic/international) - potentially >25% travel under normal, post COVID-19 conditions.
Nice to Haves
Experience of working for/with (re)insurance companies or brokers, asset managers, or climate finance companies will be a big plus.
Hands-on experience developing proof of concepts and prototypes that involve financial modeling, and data science/machine learning.
Good understanding of the (re)insurance/financial sector, climate risk and climate finance industry, and private sector/public-private partnerships approaches for climate adaptation.
Work experience with multinational / Japanese customers will be a big plus.
Compensation will be competitive with market for this position and will include equity consideration.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Subsets and Splits