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Staff Data Scientist Ai Ml | 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, AI/ML to join our team. You'll work on developing innovative machine learning models for a variety of applications in flood and resilience modeling.
We work in a highly collaborative, challenging and exciting environment. Our data science and engineering challenges are unique, so you should be comfortable stepping in uncharted territory and excited to create systems that can scale to all disasters and geographies.
What You’ll Do
Play a critical role in setting the direction and goals in terms of project impact, ML system design, and ML excellence
Design, propose and develop custom machine learning and/or deep learning models to drive innovative products
Identifying potential improvements using AI/ML for better solutions as the problem might not always be well defined. For example this can be proven being first author in research publications in reputable conferences or have led projects end to end.
Keeping up with advances in the field and push for new advances in ML/DL only if there are significant and pragmatic benefits
Code deliverables in tandem with the engineering team
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate.
Qualifications & Experience
Have a track record of coming up with new ideas or improving existing approaches in machine learning.
Possess the ability to own and pursue a research project, including impactful problems and individually carrying it out to completion
Strong background of machine learning, deep learning, statistics and quantitative analytics
At least 5 years of applying machine learning for solving real-world problems in industry
Past delivery of large-scale ML solutions for complex business problems
Advanced experience with Python (preferred)
Proficiency in using one or more query languages such as SQL
Advanced degree in Machine Learning or Artificial Intelligence, Computer Science, Statistics, Mathematics or related field
Nice to Haves
Experience working on applying machine learning methods on geospatial data to solve real world problems is a big plus
Experience with GCP and big data technologies such as hive, hadoop, spark etc.
Domain knowledge in flooding, earthquake, damage prediction is a 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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Senior Data Science Manager | 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 Data Science Manager to join our team. You'll lead a team of data scientists and partner with engineering teams to guide the development of event response features.
Reporting into the Director of Data Science, you'll combine strategy, execution, management, and leadership to drive adoption and growth of our technology. We seek an innovative, strategic, high-empathy leader, who can steer the team towards expectations as we continue to mature and grow our solution offerings.
What You’ll Do
Guides the strategy and its execution of one or more teams across multiple projects or workstreams on a six to twelve month roadmap
Drives impactful outcomes in the face of significant organizational and technical ambiguity and change
Cultivate the development of your team and strategically partner with product, program and engineering
Increasingly optimizing for the wider org and driving cross data science initiatives to impactful outcomes outside my normal area of scope
Drive business outcomes through expertise in data science as well as through strong relationships, management and cross functional influence
Guide the team to impactful results by setting strategy that is aligned with the org and business
Create an environment that empowers the teams to deliver at a high level of impact by building, organizing, and motivating well-balanced, diverse teams with a strong sense of belonging.
Qualifications & Experience
Graduate degree in an engineering or science related field, including Civil and Environmental Engineering, Data Science, and Statistics
3+ years of experience within catastrophe modeling, hazard modeling, risk management, analytics or in a similar field
2+ years experience in building and managing a team of data scientists
Nice to Haves
Interest to learn new topics and skills and to develop innovative products for our customers
Curiosity and willingness to experiment, fail fast, learn, and adapt
Ability to thrive in a fluid startup environment
Mission-driven and team-focused
Compensation will be competitive with the 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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Data Scientist Hydrodynamics | 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 Data Scientist, Hydrodynamics to join our team.
What You’ll Do
Calibrate and validate flood prediction pipeline in deployment regions
Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools
Suggest, research and implement improvements of model calibration and validation process, including automation of calibration and validation process for scalable and speedy deployment
Collect, analyze and efficiently manage a wide variety of structured and unstructured data (such as river gauge, damage and loss data) used in the development and validation of catastrophe models
Provide support on ad-hoc analysis and reports
Qualifications & Experience
Graduate degree in an engineering or science related field, including Civil and Environmental Engineering, Data Science, and Statistics
2+ years of experience in the area of flood inundation modeling and flood forecasting/simulation
1+ year experience in quantitative analytics and/or statistics
Strong drive to learn new topics and skills and to develop innovative products for our customers
Experience with scientific computing in an interpreted language (e.g. Python) is a plus
Nice to Haves
Experience in storm surge modeling, wind modeling
Experience in calibrating and validating large scale flood pipeline, and flood risk modeling
Experience in Parallel programming in GPU and cloud computing
Understanding of MySQL, Postgres, relational databases etc.
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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Data Scientist Ai Ml | 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 Data Scientist, AI/ML to join our team. You'll develop innovative machine learning models for a variety of applications in supply chain and resilience modeling. You should have experience with collecting and cleaning data, feature engineering, building scalable machine learning algorithms and constantly improving them over time. You should be a visionary, executor and an excellent communicator.
We work in a highly collaborative, challenging and exciting environment. Our data science and engineering challenges are unique, so you should be comfortable stepping in uncharted territory and excited to create systems that can scale to all disasters and geographies. If you are a problem solver, think out-of-the-box, love challenging yourself, and want to work for a cause, we would love to have you at One Concern.
What You’ll Do
Work closely with data science and engineering team to identify areas of improvement and propose creative solutions to product challenges
Design and Develop custom machine learning models to drive innovative business solutions
Work with domain experts in building and improving different products
Assess the potential usefulness and validity of new approaches and data sources.
Formulate your own problems as the problem might not always be defined for you
Work in an agile, collaborative environment, partnering with other domain scientists of all backgrounds and disciplines to bring analytical rigor and statistical/ML methods to solve challenges.
Qualifications & Experience
Possess the ability to own and pursue a research project, including impactful problems and carrying it out to completion
Background of machine learning, deep learning, statistics and quantitative analytics
2 years of applying machine learning for solving real-world problems in industry
Experience in computer vision modeling
Experience in Supply Chain modeling.
Past delivery of large-scale ML solutions for complex business problems
Experience with Python
Proficiency in using one or more query languages such as SQL
Degree in Machine Learning or Artificial Intelligence, Computer Science, Statistics, Mathematics or related field
Nice to Haves
Experience working on applying machine learning methods on supply chain data to solve real world problems is a big plus
Experience with GCP and big data technologies such as hive, hadoop, spark etc.
Domain knowledge in flooding, earthquake, damage prediction is a plus
Compensation will be competitive with the 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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Senior Pricing Scientist | Liveperson |
LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environment
You nerd out about AI, how it can be applied, or how you can learn more about it (don’t worry we’ll help)
You believe data-led decision making is the norm
You see feedback or failure as motivation to learn and to grow
You relate to our core principles (link) and want to work with experts in their respective fields
Job Mission
As LivePerson’s Senior Pricing Scientist, you drive our pricing strategy to grow LivePerson’s revenue and deliver value to our customers. You derive your insights and recommendations through rigorous data-driven modeling paired with close collaboration with our marketing, sales, and product leadership. You also get involved directly in some of our deals to generate new ideas and stay close to the customer.
You ensure that any recommendations you provide are highly actionable and can easily be explained to internal and external audiences. Finally, you build on top of our unit economics models, allowing for an even more reliable view of margins at the product and customer level paired with actionable recommendations for the sales, marketing, and product teams.
In this role you will:
Rapidly immerse yourself in our billing and usage data, and learn about our products.
In collaboration with our strategic pricing leader you develop a pricing strategy that aligns with our revenue and adoption goals and is enthusiastically received by the leadership within months of onboarding.
you socialize the strategy and ensure cross organizational buy-in by partnering with our strategic pricing leader,
Further, you share usage insights with our sales, product, and marketing teams to influence strategic decisions across the company.
Finally, you conduct quarterly executive level reviews on pricing performance and provide go forward recommendations.
Your qualifications are:
5+ Years of experience delivering and implementing pricing strategy in the software industry (SaaS) with deep knowledge of pros and cons of various SaaS based pricing strategies
A proven track-record of developing trusted relationships with executives and working effectively across functional boundaries
Solid experience in statistics, and causal inference
Proficiency in translating business objectives into models that lead to actionable recommendations
Ability to write Python code that is efficient and clean (SQL expected)
Master in Economics, Marketing with Pricing Focus, Statistics or similar. Ph.D. strongly preferred
Demonstrated ability to independently uncover insights and relationships across numerous datasets
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be 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, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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Data Scientist Mediaguard | Human |
At HUMAN, we know who’s real. We are the global leader in bot mitigation. We protect more than 200 enterprises—including the largest internet platforms—from sophisticated bots by verifying the humanity of nearly one trillion online interactions every week. The most sophisticated bots look and act like humans when they click on ads, visit websites, fill out forms, take over accounts, and commit payment fraud. We stop them.
Founded in 2012 in a Brooklyn sci-fi bookstore, our Bot Mitigation Platform protects enterprises from the sophisticated bots that threaten them. It’s an ongoing war that we fight passionately every day. Join our mission to stop bots, disrupt the economics of cyber crime, and keep it human.
The Data Science team at HUMAN is at the heart of what we do - finding and stopping bots. We build the algorithms that run behind the scenes analysing and decisioning more than 10 trillion events per week. We deploy state-of-the-art statistical and machine learning models that need to work at massive scale while also being robust to common fraudster tactics of evasion and deception.
MediaGuard is our product for advertising platforms, allowing real-time insight for customers into which advertising opportunities are fraudulent bot-driven events.
Who you are
You’ve got solid experience (at least 2 years) of solving large-scale data science problems in ad-tech or a closely related domain (such as e-commerce or web analytics).
You know enough about how the internet/web works to give a convincing explanation of DNS / HTTP / JavaScript.
You are fluent with Python and SQL and familiar with related tools, libraries and platforms (e.g. Jupyter, Pandas, NumPy etc).
You have a strong sense of ownership which drives you to find ways to keep moving forward in the face of uncertainty.
You’ve mentored more junior data scientists and helped them grow.
What you'll do
Establish yourself as a technical leader at HUMAN. First by understanding our detection methodology and how data science fits in, then by using your experience to identify where we can improve and making that improvement happen.
Evaluate and implement data analysis strategies to improve detection efficacy at internet-scale.
Influence detection strategy and aid our leadership in understanding the detection impact of new initiatives.
Collaborate with product, engineering and customer success to define and develop new data-intensive product features that will delight our customers.
Research for case studies with our partners on botnets, fraud and abuse in online advertising.
Contribute to toolkits and platforms that scale detection analytics.
Life at HUMAN
Our HQ office is located in the heart of New York City. We are growing the company deliberately with a keen eye towards maintaining a culture that values diversity, lifestyle, and career growth. We are doing meaningful work and our ambition means we need more people to help us. We have offices located in NYC, London, Washington DC, and Victoria (Canada).
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Director Data Science | Zwift |
Seniority Level: Director
Location: Long Beach, CA or US Remote (in select states)
About the role and about You:
Zwift is looking for an innovative, experienced and mindful manager to build and lead the data science team. The focus of this role is on proactively seeing opportunities to improve our products, services, marketing and customer experience, partnering with multi-functional teams from across the organization to develop and iterate on innovative solutions and products, and building the capabilities and platform to enable rapid deployment of these new capabilities.
The company is at a pivotal moment in its development with exciting strategic plans, continuing rapid growth and offers the chance for a motivated and forward-thinking leader to have high impact and help shape the future of the business.
The ideal candidate will have a proven track record of applying sophisticated statistical and machine learning techniques to solving exciting business problems across a broad range of business functions. If you are a genius at balancing deep technical wizardry with the ability to deliver practical applications in a fast-paced environment, then this is the role for you.
What you’ll do:
Establish the vision and roadmap for the data science team, prioritize the most impactful analyses, and guide team members in solving ambiguous and complex problems
Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
Partner closely with Engineering, Product and Marketing leaders to develop innovative analytics solutions and products
Provide thought leadership and hands-on expertise in advanced analytics applications to business problems across the spectrum, including: data mining, forecasting, target setting, retention / churn prediction, LTV, segmentation, experimentation, marketing effectiveness, auto-categorization, personalization and recommendations
Partner with Data Engineering to build a platform for the development, testing, productization, deployment and monitoring of ML models
Hire and develop a growing team of data scientists
What you'll have:
Advanced Degree in Computer Science, Engineering, Econometrics, Math, Statistics, Information Sciences, or other quantitative fields
12+ years of experience in analytics or data science teams, with 5+ years of industry experience building data science driven solutions to solve business problems and managing data science teams
Proven experience with: machine learning, data mining, predictive modeling, statistics, experimental design, attribution, and econometric modeling
Fluent in SQL and Python or R
Expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication
Bonus points:
Experience building and leading Experimentation best practices and capabilities across multiple platforms / products and customer touch points
Passion for cycling, running, triathlons and/or experienced Zwifter
Passion for video games
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Data Scientist | Eight Sleep |
Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for better.
We've just launched our temperature-regulated smart bed, the Pod. It's an absolute game changer, improving people's health and happiness by changing the way they sleep. Early feedback is great, but we still have a long way to go toward achieving our mission. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures and Y Combinator, we’ve raised over $150 million (Series C) to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2018.
Eight Sleep is looking for an experienced Data Scientist to help us expand our product features and our capabilities to bring the highest quality sleep to as many people as possible. As a Data Scientist you will have a big impact on the direction of our products and engineering efforts. Your job will be to solve complex problems by making sense of massive amounts of sleep data and distilling it down into actionable directions and insights. You will be empowered to drive the full lifecycle of a project from data collection, exploration, visualization, modeling, experimentation, and deployment. We are seeking someone with a passion to work with one of the largest datasets of sleep in the world, and to be a part of growing and shaping the future of sleep.
How you'll contribute
Develop data-driven insights to identify opportunities and recommend prioritization of product, engineering, and optimization initiatives.
Support our engineering and ML efforts by building the tools and models to measure and define our goals.
Independently run data experiments and build proof of concepts to better use data and improve our products.
Prepare and manage large datasets to run experiments with the goal of optimizing the sleep of our users.
What you'll need to succeed
M.S. or Bachelors degree in Math, Statistics, Engineering, or Computer Science
5+ years experience in developing, testing, and deploying optimized predictive models
Languages: SQL, Python
Tools/Software: Pandas, Scikit Learn, Jupyter Notebooks, AWS
ML Techniques: Clustering, Decision Trees, Neural Networks
Statistics: Regression, Statistical Testing
Ability to communicate data and technical work to non-technical stakeholders
Why you’ll love Eight
We’re a tight-knit, passionate team that’s working to improve people’s lives by improving the way they sleep
Leadership is committed to employees’ wellness and career development
You’ll get a better night sleep every night; all full-time employees receive the Pod
Flexible, generous PTO
100% employer contribution for medical/dental/vision insurance
At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. 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.
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Senior Data Scientist Reddit Talk | Reddit |
“The front page of the internet," Reddit brings millions and millions of users together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are looking for a Senior Data Scientist to work on our Reddit Talk team. Reddit Talk lets people have live audio conversations in their favorite communities. We have strong momentum with top subreddits hosting Talks ranging from AMAs (e.g., r/space with Chris Hadfield) to community conversations (e.g., r/dadjokes) attended by 10,000+ listeners. We’ve also built a community of moderators that we’re working with closely to expand this product. Our vision is to make Talk the go-to surface for live conversations on Reddit in all formats and we are doubling the team to make this happen. As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build one of Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.
How You’ll Have Impact:
You’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).
What You’ll Do:
Lead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.
Partner with Eng and Product to define and execute Reddit Talk’s roadmap and initiatives
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Communicate findings and co-design strategy with the most senior leaders in our organization
Mentor and guide data scientists from across the company on best practices, techniques, and thought processes
Who You Might Be:
4+ years of experience in Data Science or Analytics function in a tech consumer company
Proficiency with relational databases (e.g., SQL)
Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
Ability to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred
Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Experience working with senior cross-functional stakeholders (VP, C-level)
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
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Senior Data Scientist International Growth | Reddit |
“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come work with one of the richest datasets in the world and make an impact on the lives of Redditors everywhere.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are looking for a results-oriented and strategically minded Senior Data Scientist, Product Analytics to work with our International Growth team as Reddit expands its user base to emerging markets. This is a truly zero-to-one role where you will be able to work with Product, Engineering and Design to uncover greenfield and white space opportunities on how to grow Reddit’s presence in emerging markets.
How You’ll Have Impact:
Today the majority of Reddit’s user base lives in the US. Reddit’s mission is to bring community and belonging to everyone in the world, which means we’ll be making a major push to expand our audience internationally. We’ve identified emerging markets as a key opportunity and need you to be a key player in exploring and understanding the key levers to drive growth.
What You’ll Learn:
As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how emerging market users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating performance of existing Reddit features for emerging market users, as well as uncovering opportunities for new experiences that are optimized for lower bandwidth internet connections.
You will work side by side with a world-class org of Engineering, Machine Learning, Search, Community Operations, Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, machine learning, and exploratory analysis.
What You’ll Do:
Partner cross functionally with Eng and Product leads to help define and execute international growth’s emerging market roadmap and initiatives as well as play a key role in Reddit’s first emerging markets playbook
Become the expert at understanding user behavior and long-term trends in emerging markets
Generate data-driven insights that propose next steps in the strategic roadmap including opportunity sizing new initiatives such as alternative onboarding and leveraging new technologies localized to emerging markets
Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards
Who You Might Be:
6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Previous experience with emerging market preferred
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Senior Data Scientist Channels | Reddit |
“The front page of the internet," Reddit brings over 430 million people together 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. Learn more about how we're evolving Reddit's workforce here.
We are looking for a Senior Data Scientist to work with our Channels team. The Channels team within the Growth org is responsible for sending the right message to the right user at the right time via the right channel. Our challenges include recommending relevant content to millions of people, developing new interactions on and off the platform, and deeply personalizing what and how Reddit communicates to our users.
How You’ll Have Impact:
You’ll be a champion for user experience as Reddit improves and innovates on its Channels (Email & Push Notifications) strategy. You’ll be a key player in ensuring we make the right product decisions based on data insights, play with the large data from one of the most visited websites in the US, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there are still a lot of low hanging fruit opportunities that will immediately impact millions of users.
What You’ll Learn:
You will be deeply integrated with our tight-knit Channels team, which moves quickly and runs more experiments than any other team at Reddit. You’ll play a key role in determining the Push Notification and Email strategy for users throughout their lifecycle. You’ll play with petabytes of data full of user interactions and events to develop user segmentation that will impact the entire company.
In addition, you will work side by side with a world-class org of Engineering, Product, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.
What You’ll Do:
Perform proactive exploratory analyses on understanding user behavior on Reddit (e.g. tipping points and when to intervene with Channel levers)
Conduct exploratory analyses to size new opportunities for re-engaging Redditors through push notifications, email digests, and other outreach channels
Partner with Eng and Product to define and execute Channel’s roadmap and initiatives
Design and evaluate A/B tests and product feature experiments to influence product strategy
Define team metrics and goals and scale data-informed decision making through ETLs and reporting dashboards
Present findings to senior leadership and inform product decisions
Who You Might Be:
4+ years of experience in data analytics or related quantitative role
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Experience with developing user segmentation and using the segments to drive user experience and product improvements
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
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Data Science Manager Experimentation | Reddit |
“The front page of the internet," Reddit brings millions and millions of people together 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. Learn more about how we're evolving Reddit's workforce here.
We are looking for a Data Science Manager to lead our Data Science horizontal on Experimentation and to partner with our Engineering team to drive and implement the vision of Experimentation at Reddit.
Our Experimentation Platform has been used by our Product and Engineering teams to run thousands of experiments in order to ensure that we fully understand our users and create the best possible experiences, as well as to roll out thousands of features in a safe, appropriate way. In 2021, we have rapidly scaled our Experimentation team and are quickly turning the platform into a world-class framework, capable of even greater scale and effectiveness.
As the Data Science Manager for Experimentation you will lead a small but growing team and will be pivotal in driving company-wide innovation and rigor, shaping our metrics strategy, and building a strong experimentation culture. The opportunity for impact will be great as you enhance the success and understanding of our products across our diverse and growing user base.
How You’ll Have Impact:
Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. As the 6th largest site on the internet Reddit has a dramatic scale but at 1000+ employees you won’t be stuck making small incremental gains on enterprise systems. You will create organization-wide capabilities to run more advanced experiments and create publication quality research, leverage complex testing and optimization algorithms to grow revenue, and produce more robust results faster to help teams increase their velocity and effectiveness.
What You’ll Learn:
You will partner closely with a world-class org of Engineering, ML, Search, Data Science, Data Engineering, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In particular, you’ll be exposed to and drive adoption of a variety of new techniques in modeling, experimentation, statistical frameworks, and causal inference.
What You’ll Do:
Be the main point of contact for Data Science / statistics of experimentation, creating and implementing the roadmap for the stats engine of Reddit’s Experimentation Platform, providing guidance on experiment design, analysis, and metrics
Apply modeling (advanced statistical methods, machine learning) to improve the accuracy of our experimental results (e.g. variance reduction techniques such as CUPED)
Be responsible for platform-wide Data Science process & analyses, defining company-wide experiment processes (delegation of authority when certain metrics are impacted, etc.), communicating good experimentation best practices and setting the standard for experiment design for the entire organization
Ensure high-quality and trustworthy experiment results and ensure that experimental designs lead to action
Collaborate with multiple engineers/product teams across the whole company to find technical solutions to complex experiment design challenges
Develop and adopt statistical methods that help Reddit teams better measure their feature areas
Perform meta-analysis on experiments to understand macro trends in our product ecosystem and to understand the health of experiments for the company as a whole
Who You Might Be:
5+ years of experience in quantitative or data science roles, preferably for a consumer-facing service/app
1+ years of experience focused on experiment design and/or A/B testing
Demonstrated application of the statistical underpinnings of experimentation: hypothesis testing, p-values, causal inference, etc.
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Proficiency with querying relational databases (e.g., SQL)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
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Data Science Manager Ads Marketplace Analytics Pooling | Reddit |
“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
We are looking for a Data Science Manager to lead the Ads Marketplace analytics team. You will partner closely with cross functional team leaders such as GPMs, Engineering Managers and other leaders in utilizing data to drive decision making. In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our Ads Marketplace strategy in a data driven manner.
How You’ll Have Impact:
Advertising is Reddit’s primary business model 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 that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data science leader, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Your work will not only impact millions of users and thousands of advertisers but also act as a data foundation for our rapidly growing ads business.
What You’ll Learn:
Your team will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company. Your team will play a key role in developing Ads product strategy and experiments. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.
In addition, your team will work side by side with a world-class organization of Engineering, Machine Learning, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.
What You’ll Do:
Analyze conversations and behaviors across Reddit's over 10,000 interest-based communities, and convert them into insights and product recommendations.
Understand Reddit advertising and help the company improve Ads Revenue while simultaneously improving ROAS (Return on Ads Spend) for advertisers and ads quality for users.
Conduct product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
Who You Might Be:
5+ years of experience in data analytics or related quantitative role
2+ years of experience in the digital advertising space
2+ years of experience managing a team of 5 or more Data Scientists.
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability 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)
Good understanding of Machine Learning techniques and platforms.
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Sr Data Scientist Marketing Product Analytics | Rhino |
Please note: All roles at Rhino are remote, and there will be no future in-office mandate.
Our mission is to give renters everywhere greater financial freedom to plan and enjoy their lives.
Our first product eliminates cash security deposits and puts more money back in renters’ pockets. With over $45 billion tied up in security deposits for 110 million renters in the United States alone, it’s time for security deposits to officially become a thing of the past. Tying up money at one of life’s biggest and most expensive moments just isn’t fair.
So we threw out the antiquated “way of doing things” and built a technology-driven insurance product to help bring renting into the 21st century. With Rhino, millions of renters across the country now have the opportunity to save with our award-winning deposit insurance. We’ve already saved hundreds of millions of dollars for renters and are trusted in over 1 million homes nationwide, and most importantly, we’re just getting started...
As a Sr. Data Scientist for Marketing and Product Analytics, you will contribute to building a great experience for our landlord partners. By partnering with Product and Marketing on discovery, A/B testing and campaign experimentation, you will inform how we engage with our customers and build Rhino’s best in class product.
In this role you will:
Partner with Product managers on data driven discovery and feature development.
Partner with email marketers and copy writers on campaign design and evaluation.
Collaborate with Engineering and Data Engineering to ensure we collect the right data to understand our users
Extend Rhino’s data models to formalize how we think about user behavior and evaluate third party analytics tools for your area
Empower business partners and executive leadership to easily understand our product performance through clear and accessible reporting
We’re ideally seeking:
2+ years of experience working in a Data Science / Analytics capacity in Tech, E-Commerce or Media / Advertising, partnering with Product and Marketing teams
Solid SQL and Python analysis skills
Hands on experience working with email and event tracking data (e.g. Drip, Iterable, Segment, Amplitude).
Bonus points for experience designing ETL workflows to transform raw data into analytical datasets and metrics for business wide consumption
Applied knowledge of measurement, statistics and program evaluation. Track record of using experimentation to inform marketing campaigns and product development
Strong written and verbal communication skills and strong interest in translating analysis results into business recommendations
Benefits:
Competitive compensation and 401k
Unlimited PTO to give our employees a little extra R&R when they need it
Stock option plan to give our employees a direct stake in Rhino’s success
Comprehensive health coverage (medical, dental, vision)
Remote Work Program to allow for flexibility between home and the office
Generous Parental Leave to create a family-friendly culture
Wellness Perks (Gym, Classpass, & Citibike Memberships)
Commuter Benefits through a Flexible Spending Account
Fintech Equality Coalition Founding member
#LI-TM1
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Senior Data Scientist | Hatch |
Our mission is to help small businesses start and grow. We are building financial products that empower business owners and enable them to focus on their products and on growing their businesses. At Hatch we care about creating solutions which provide accessible, transparent, and fair access to financial products. Our team is spread across the US and Canada, with a physical office in San Francisco and more opening around the country soon. Our company is growing and we’d love for you to grow with us!
Opportunity
As one of the first Data Scientists at Hatch, you will help set the foundations for the data team. You will engineer features, build, train, test, evaluate, and implement models, interpret data, analyze results, build dashboards and reports, and provide actionable insights and conclusions in order to support teams cross-functionally. This will be a high visibility role that will add significant value to every part of our company to support our goal of helping small business owners (SMBs) scale and grow.
If you are someone who enjoys uncovering complex problems, is a systems-thinker, has a passion for operations and process, thrives at the intersection of business needs, customer experience and technology/innovation -- then we would love to meet you!
Data and Analytics
The data Team at Hatch is small, but strong and expanding quickly. We use Python and SQL to deep dive into data while using various other technologies to investigate further if needed. The company uses Segment, Fivetran, and Mode for data instrumentation, and business analytics (but we’re always evaluating new vendors).
The ideal candidate will have:
5+ years working experience as a Data Scientist, Data Analyst, Business Data Analyst, or in another relevant role
Experience building and implementing production-facing machine learning models
Experience in designing and building out foundational Data Science infrastructure and tooling
Strong knowledge of and experience with databases and query languages (SQL, etc.), as well as familiarity with scripting languages to analyze data and build models (e.g. Python, Julia, R)
Experience building Business Intelligence dashboards and reports, as well as working with cross-functional stakeholders
The ability to work and thrive in a small group: strong communication, collaboration, and empathy
You will succeed in this role if you:
Have experience working with cross-functional teams to implement strategies and provide recommendations based on data findings
Have strong analytical, relationship and project management skills for driving a variety of programs
Have experience with analyzing and conducting hypothesis driven experimentation
Demonstrate resourcefulness and comfort with ambiguity—we won't know the answers to everything, but we'll figure it out together
We’d love to have you apply, even if you feel unsure about whether you meet every single requirement in this posting
What You Can Expect
You can expect to familiarize yourself with our databases, tables, and your team in the first week. You can expect to work directly with the Data and Engineering teams on a daily basis, and partner with your lead to help you if you get stuck. You can also expect to get a good grasp on understanding our users, how Hatch works and how small business banking and credit also work!
After one month, you should be able to engineer features, train and test models for a variety of business applications (e.g. credit underwriting, fraud detection, growth), as well as be able to deliver meaningful metrics, reports, and data visualizations to different stakeholders and for a variety of teams/departments.
We’ll have a collaborative team session to go through your code and model/analysis. By the end of your second month, you should feel empowered to improve internal processes and models to drive efficiency and increase conversion rates. By this time you’ll also be owning and tackling problems from inception to implementation.
Benefits Offered
• Best-in-class Platinum HMO and PPO Health plans. Fully covered Beam Dental and VSP Vision insurance.
• 401k plan with 4% company matching.
• Monthly subsidy for health and wellness.
• Monthly subsidy for transit and commute.
• Untracked, flexible vacation policy (we encourage folks to take one week a quarter.)
• The Hatch Match: Annual donation match to a charity of your choice.
Hatch does not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Lead Data Scientist | Growthbook |
About GrowthBookHere at GrowthBook we are building an open source A/B testing platform and transforming the way product decisions are made. The top 1% of companies spend thousands of hours making their own highly custom A/B testing platforms. We’ve created GrowthBook to give all companies the power and flexibility of a custom in-house experimentation system without having to build it themselves. The world of product development is increasingly moving towards data-driven decision making, and the best way to objectively measure the impact of a product is with A/B testing. Top companies already know this, and test everything they ship. As these methods spread, A/B testing will increasingly be part of all product development processes, and will require a new set of tools which are highly integrated and customized to the product and data. GrowthBook is that platform. Since we launched in May 2021, we’ve added over 1,500 stars on GitHub, and we are the most popular active open source experimentation platform. We’re used by hundreds of companies, and are working closely with fast-growing and large early adopters to help shape our product. Our platform is built using modern tech by very experienced engineers, and backed by top investors. We believe in open source and product-led growth, and we’re focused on building something awesome that our users love.GrowthBook is an equal opportunity employer, and is committed to creating an inclusive, supportive environment for all employees.We regret that we cannot sponsor employment visas at this time. About the roleWe are looking to hire a senior data scientist to join our growing team and lead our data science initiatives. This role is fully remote. We have a lot of hard data science problems to solve, from advanced Bayesian statistics to machine learning. You will get to work directly with our customer’s data teams and regularly meet with top experimentation experts from Uber, Netflix, Facebook, and more to ensure we’re on track to build the best data science and experimentation platform on the planet. As an early employee, you will wear many hats, have opportunities to touch and influence all aspects of the product, and build a team. 5+ years of experience of data science experience Proficient with SQL and Python Advanced degree in statistics or similar field (or equivalent industry experience) You know how to balance statistical rigor vs the need to move quickly. You have a good understanding of when something is “good enough”. Bonus: Managed a team before, or worked at a small startup Bonus: Familiarity with data engineering and data warehouses Generous compensation and employee-friendly equity in a fast-growing early-stage well-funded startup Unlimited time off Medical insurance including dental and vision (US) Generous parental leave Work-from-home stipend and IT budget Remote-first company with regular off sites in exciting locations (once Covid allows us to safely travel again)
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Senior Data Scientist | Samsara |
The Senior Data Scientist will be a senior technical contributor to the team with deep expertise in analyzing large volumes of complex data, building models to help answer pressing business questions or address customer needs, and communicating their findings to both technical and non-technical audiences. The Senior Data Scientist will work closely with technical and business leadership across Samsara, translate customer problems into concrete quantitative analysis, and iterate on the output with stakeholders.
Examples of day-to-day responsibilities:
Leveraging SQL or Python to shape and structure large, complex data sets for analysis
Building statistical and machine learning models to identify patterns, anomalies, and root causes (e.g., analyzing sensor temperatures to spot unhealthy devices)
Meeting with technical and non-technical stakeholders to understand data structures and determine business priorities
Working with product and full-stack engineering teams to build data-powered features in our cloud dashboard
Creating data visualizations and other summary output to support decision-making from operational and leadership teams
Requirements:
BA / MS / PhD or equivalent coursework in engineering or quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)
Experience with data manipulation and processing, preferably in SQL or Python on very large datasets (e.g., using PySpark)
Experience building statistical / machine learning models, preferably in Python (e.g., using Tensorflow, etc.)
Familiarity managing data science code via GitHub or other code versioning tool
Knowledge of software engineering fundamentals; high level of comfort reading and understanding full-stack / backend development code (e.g., our Go code base)
Experience with data visualization using Python libraries or BI tools (e.g., Tableau)
4+ years experience as a data scientist, data engineer, or related role
Preferred: Experience deploying and optimizing machine learning models for very large datasets (1B+ rows)
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Data Scientist | Jw Player |
JW Player powers billions of video plays every week across a wide spanning web of broadcasters and video publishers with a diverse set of audiences and content types. Leveraging the vast stream of data sent by our flagship player, the Data Science team works in close collaboration with adjacent teams to improve our existing products, drive sound decision making, and develop new data products that bring value to our customers in both the video publishing and video advertising spaces. We iterate quickly, conduct frequent experiments, and seek to be data driven in everything we do.
As a Data Scientist at JW Player, you will be joining a collaborative, creative, multidisciplinary team of scientists, engineers, and data analysts responsible for research and development, product analytics, and running production machine learning models that make tens of millions of predictions every day.
As a Data Scientist, you will:
Develop and support predictive models used millions of times daily
Leverage data to research, envision, and implement improvements to JW products
Envision and define requirements for new data sources
Work with engineers to envision and build end to end solutions
Work with Product Managers to answer key questions about JW Player products
Plan, execute, and analyze controlled experiments
Influence the direction of the business by effectively communicating results to cross functional groups
Democratize data by building and sharing tools and dashboards
Provide expertise on machine learning concepts for the broader Data Team and inspire the adoption of data science across the entire breadth of our organization
Who You Are:
3+ years experience of bringing data science products into production
An advanced degree in an analytical field such as (but not limited to!) statistics, computer science, mathematics, operations research, engineering, natural sciences, economics
Fluency in Python and libraries such as pandas, numpy, scipy, & scikitlearn
Strong knowledge of statistical modeling, machine learning
High proficiency with SQL and relational databases
Strong data visualization skills
Good organization skills, ability to lead multidisciplinary projects
A strong ability to tell stories with data, including for non-technical audiences
Strong business knowledge
Bonus Points:
Experience building analytics pipelines with tools like Airflow and/or dbt
Experience with deep learning frameworks like Tensorflow
Experience with Looker
Knowledge of video, video advertising
Familiarity with big data tools like Spark and Presto
About JW PlayerJW Player pioneered video on the web over a decade ago and continues to innovate as the world’s largest network-independent platform for video delivery and intelligence. Media companies including Fox, VICE, Business Insider, and Univision, in addition to hundreds of thousands of creators of all types and sizes, rely on JW Player to deliver and monetise their content across all devices. JW Player’s massive global footprint of over 2 billion unique devices creates a powerful data graph of unique consumer insights and generates billions of incremental video views. The company is headquartered in New York, with offices in London and Eindhoven, and was named to Deloitte’s Technology Fast 500™ in 2018. For more information, visit http://www.jwplayer.com.
Our Perks
When you join JW Player, you are not just joining a company or a team but a family. Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success. When you join us, your benefits kick in from day one!
Medical, Vision and Dental Coverage through Empire BlueCross
Open PTO Policy - Self care is IMPORTANT!
Development Program
An opportunity to make an impact in a fast paced environment
Bi - Annual Hack Weeks
AMA (Ask Me Anything) and Fireside chats with Executives & JW Player family
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, gender, sexual orientation, age, marital status, veteran status, or disability status.
#jwplayer #datasciencecareers #hiring #usjobs #datascience #remote
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Data Scientist | Karat |
We're Karat, the leader in technical interviewing
Karat’s purpose is to Unlock Opportunity for engineers and companies alike, and our mission is to make every interview predictive, fair, and enjoyable. As the world’s technical hiring expert, we help companies hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a passionate, smart, and committed team, and we want you to join our mission!
Come join our Data Science team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is not available for this position.
Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.
The experience you will bring
3+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Proven experience applying machine learning to solve business prediction and automation challenges
Strong data analysis and scientific thinking skills
Experience with Python and related data science and machine learning libraries a plus
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Experience with — and a knack for — communicating technical work to partners
Professional familiarity with marketplaces solving problems at the intersection of supply and demand a plus
Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:
Highly competitive salary and stock options
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Parental Leave (12 weeks paid with transition back to work in part-time capacity)
18 paid Company Holidays for 2021
Benefits / Wellness:
Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice
Learn more about us
Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at people@karat.com.
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Data Scientist Workforce Planning And Analytics | Ascension |
We Are Hiring
Data Scientist
Workforce Planning and Analytics
Full-Time, Days
Remote / Virtual
Do you have experience with statistical programs? Our team wants to speak with you! We are seeking a Data Scientist to join our Workforce Planning & Analytics team. You will support deep dive data analysis, communicate trends to leadership, and identify issues relating to systems and processes for organizational support.
What You Will Do
As a Data Scientist with Ascension, you will have the opportunity to develop predictive and prescriptive analytics models, creating efficient algorithms, and innovating use of data.
Responsibilities:
Integrates data from multiple sources and supports/performs complex statistical data analysis including multivariate statistical analysis, multilevel modeling, dyadic analysis and/or coarsened exact matching analysis.Analyzes complex business and competitive issues and discerns the implications for systems support.Identifies, defines, directs and performs project issue analysis to resolve issues, including analysis of technical and economic feasibility of proposed data solution.Communicates highly technical information to numerous audiences, including senior management, the user community, and less experienced staff.Presents data to drive business decisions.Proposes and leads projects required to support the development of the organization's data infrastructure needs.
What You Will Need
Education:
High school diploma/GED with 2 years of experience, or Associate's degree, or Bachelor's degree required.
Work Experience:
3 years of experience preferred.
Additional Preferences
Education:
Bachelor's or Master's Degree strongly preferred.
Work Experience:
1-3+ years of Data Science experience preferred.Experience with Python and R strongly preferred.
Why Join Our Team
When you join Ascension, you join a team of over 160,000 individuals across the country committed to a Mission of serving others and providing compassionate, personalized care to all. Our inclusive culture, continuing education programs, career coaches and benefit offerings are just a few of the resources and tools that team members can use to create a rewarding career path. In fact, Ascension spent nearly $46 million in tuition assistance alone to support associate growth and development. If you are looking for a career where you can grow and make a difference in your community, we invite you to join our team today.
Equal Employment Opportunity Employer
Ascension is an equal opportunity employer (EEO) and affords equal opportunity to all associates and applicants without regard to race, color, religion, national origin, gender identity, sexual orientation, age, physical or mental disability, veteran status, genetic data, or other legally protected status.For further information regarding your EEO rights, click on the following link to the “EEO is the Law” poster:http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdfEEO is the Law Poster SupplementPlease note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.
This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.E-Verify
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Senior Data Scientist | Clearco |
Application Deadline: October 1, 2021
Please be advised someone from the recruitment team will be in touch shortly after the application deadline.
Clearco is a company built by founders for founders, and we're laser-focused on our mission to help entrepreneurs succeed. In order for us to succeed in this endeavour, we are looking to add a Senior Data Scientist to the data science team, who will be integral in helping us improve our existing product offering as well as develop new initiatives based on a large variety of data sources.
What your day-to-day will look like:
Working on the Data Science team to help unlock growth capital for founders
Designing and executing sound and reproducible data science experiments
Conduct data mining for the purpose of uncovering insights and improving data acquisition
Leveraging software processes to render the results of data science experiments widely available
Utilizing Machine Learning to:
create and improve models deployed for production at ClearCo
perform descriptive as well as predictive investigatio
You will thrive if you:
Are a Data Scientist with a strong background in software engineering
Possess an expert grasp of statistics, including the notions of variance and significance
Have 3-4 years of experience working in a production data science environment
Have 2+ years of experience working with backend Python-based frameworks
Hands-on Machine Learning experience
Your previous ML work includes significant experience with time series forecasting
Have 2+ years of experience working with SQL and NoSQL databases
Possess great communication skills
Have experience working in a startup environment (asset)
Clearco is an equal opportunity employer. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. At Clearco, we’re committed to developing and upholding an inclusive, transparent, and comfortable environment for all. We create a space where every voice, perspective, and idea is heard and acknowledged. We embrace differences, and know that our diverse team is our strength and what drives our innovation.
Clearco is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please email us at accommodations@clear.co and we’ll work with you to meet your accessibility needs.
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Subsets and Splits