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 DescriptionVisa U.S.A. Inc., a Visa Inc. company, needs a Sr. Data Scientist (multiple openings) in Washington, DC to
- Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients.
- Use, build and automate new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
- Run projects from scoping to delivery, and engaging with internal/external partners.
- Find opportunities to craft products out of analyses that are suitable for multiple clients.
- Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions.
- Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners.
- Prioritize and lead multiple data science projects with diverse multifunctional partners.
- Position reports to the Washington, DC office and may allow for partial telecommuting.
Basic Qualifications:
- Employer will accept a Master’s degree in Statistics, Quantitative Research or related field and 4 years of experience in the job offered or in a data scientist-related occupation.
- Position requires experience in the following skills:
- Analyzing large data sets using programming languages, such as Python, SQL, R, and/or Spark;
- Creating data pipelines to support data ETL processes;
- Scheduling and monitoring pipelines for data processing;
- Designing and implementing A/B tests;
- Designing and implementing marketing attribution models;
- Building predictive and descriptive statistical models using machine learning, Jupyter notebooks, Python and Scala;
- Performing statistical analysis such as Time Series, Regression, Clustering, Causal Inference and Experiment Design;
- Applying data visualization tools to communicate findings effectively; and
- Collaborating with cross-functional teams to develop data-driven solutions.
Worksite: Washington, DC
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.
Travel Requirements: This position does not require travel.
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.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $166,858.00 to $223,700.00 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.
