Visa
Senior Manager of Data Science
Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

We are currently seeking data scientist to drive analytical projects and insights for Visa Analytics. The position will be based at Visa's office in Washington, DC.

The predictive modeling team within Visa Analytical Data Product is responsible for building and maintaining major consumer behavior models to solve business problem for clients and issuers. The team closely collaborates with other analytic stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to customers. Responsibilities include delivering projects on time and within scope with an in depth knowledge of big data and cutting edge data mining techniques as well as the use of predictive, classification, machine learning and alternate analytic algorithms for modeling and segmentation.

Responsibilities:

Execute model implantation and performance tracking for risk models, generate performance analysis at the aggregate level, as well as issuer level. Interpret and present performance results to nontechnical audience.

Compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models

Propel analytic product development via conducting statistical analyses on various data sources, and add values to products by being innovative and applying the analysis

Define financial and analytic metrics to measure development and production outcomes and produce performance reports

Find opportunities to create and automate repeatable analyses or build self service tools for business users

Support sales and marketing efforts with sound statistical and financial analysis, execute adhoc analyses to meet the fast changing market demands

Conduct transaction data analyses with Hadoop/Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods

Ensure project delivery within timelines and meet critical business needs

Work on cross functional teams and collaborate with internal and external stakeholders

Promote big data innovations and analytic education throughout the Visa organization

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhDGraduate degree in a quantitative subject such as statistics, mathematics, economics, engineering, or similar disciplines6+ year of experience in developing statistical predictive modelsPrefer modeling experience in bankcard industry or financial service company using for fraud, credit risk, bankruptcy, or marketingPrevious experience in artificial neural network, RNN, CNN, natural language processing or graph database analytics is desirableReal world experience using Hadoop and the related query engines (Hive/Impala)High level of competence in Python, Spark and Unix/Linux scriptsExtensive experience with SAS/SQL/Hive for extracting and aggregating dataHands on experience with deep learning preferredProven ability of handling multi tasks and problem solving skillDemonstrated intellectual and analytical rigor, strong attention to details and excellent business writing, verbal communication, and presentation skills

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 145,400.00 to 210,850.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Washington, DC