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Data Scientist

3 days ago Washington, DC

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

Visa USA Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Washington, DC to

  • Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
  • Be an out-of-the-box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face.
  • Work with your data science colleagues as well as other teams across the company to guide the critical thinking for our clients by using the data and tools available.
  • Connect with clients as well as client teams regarding the results and strategic recommendations advised by your analyses.
  • Develop visualizations to make your sophisticated analyses accessible to a broad audience.
  • Find opportunities to craft products out of analyses that are suitable for multiple clients.
  • Work with partners throughout the organization to explore opportunities for using company data to drive business solutions.
  • Position requires 5% domestic travel.
  • Position reports to the Washington, DC office and may allow for partial telecommuting.

Qualifications

Basic Qualifications:

  • Master’s degree in Statistics, Operations Research, Data Science, Business Analytics, Economics, Computer Science, or a related field and 2 years of experience in a data-based decision-making or quantitative analysis or data scientist-related occupation.
  • Position requires experience in the following:
    • Analyzing financial data using programming languages like Python.
    • Strong background in mathematical modeling, probability, and statistics.
    • Extracting and aggregating data from large data sets using SQL, Hive, Spark and Presto using advanced querying techniques.
    • Experience building custom open-source python packages for automating and model evaluation.
    • Experience in developing and optimizing machine learning models and algorithms using scikit-learn, xgboost, TensorFlow, Keras, Optuna, using machine learning platforms.
    • Building insightful analyses/visualizations using Excel, PowerPoint, Tableau and PowerBI.
    • Experience working in and collaborating across inter-disciplinary teams.

Additional Information

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: Position requires 5% domestic 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.

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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 this position is $145,300.00 USD to $232,700.00 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.

Client-provided location(s): Washington, DC
Job ID: 11af6e25-5ec8-4402-a22a-34cccaec2b6d
Employment Type: OTHER
Posted: 2026-03-13T16:58:22

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)