Sr. Data Scientist

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.

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

• Responsible for design, development and delivery of personalization models and signals to fuel AI products and services on a global scale.
• Execute data science capabilities in the personalization space.
• Design and develop large-scale data science systems.
• Foster innovation and experimentation within the team.
• Apply advanced data science techniques to drive business impact.
• Stay up-to-date with industry trends and emerging technologies.
• Develop and maintain expertise in multiple programming languages and data science tools.
• Work closely with cross-functional teams to integrate data science capabilities.
• Communicate complex technical concepts and results to stakeholders.
• Influence business decisions with data-driven insights.
• Up to 10% domestic travel required.
• Position reports to the employer’s Washington, DC office and may allow for partial telecommuting.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Data Analytics, Operations Research, Statistics, or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in a Data Scientist-related occupation.
• Alternatively, a Master’s degree in Computer Science, Data Analytics, Operations Research, Statistics, or related field and 2 years of experience in the job offered or in a Data Scientist-related occupation.
• Position requires experience in the following:
  • Deep Learning.
  • Machine Learning.
  • Recommendation Systems.
  • Generative Models.
  • Statistical analyses.
  • Python and Spark.
  • Scikit-learn and experience with a deep learning library (Tensorflow, PyTorch).
  • Working with real-world data sets and building scalable models from large-scale data.
  • Work with cross-functional teams to integrate data science capabilities and communicate complex technical concepts/results to stakeholders.

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: Up to 10% domestic travel required.

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 this position is $170,872.00 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.