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 U.S.A. Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Washington, DC to:

• Conduct model development and implementation for risk models; generate performance analysis at both the aggregate and issuer levels.
• Interpret and present performance results to non-technical audiences.
• Compile complex predictive model packages for production deployment; support model installations and monitor and calibrate models in production.
• Propel analytic product development by conducting statistical analyses on various data sources; add value to products through innovation and application of insights.
• Identify opportunities to automate repeatable analyses or build self-service tools for business users.
• Support sales and business initiatives with sound statistical and financial analysis; perform ad-hoc analyses to meet fast-changing market demands.
• Analyze transaction data using Hadoop/Cloud and big data technologies for internal and external product owners; develop deeper product insights using advanced statistical methods.
• Ensure timely project delivery and alignment with critical business needs.
• Promote big data innovation and analytics education across the Visa organization.
• Position reports to the Washington, DC office and may allow for partial telecommuting.

Basic Qualificaitons:

Employer will accept a Master's degree in Analytics, Statistics, Data Science, Computer Science, or related field, and 2 years of experience in the job offered or in a Data Scientist-related occupation. 

Experience can be gained through academic coursework and/or work experience. Position requires: 

1. Python
2. Deep Learning
3. Natural Language Processing
4. Predictive Modeling
5. Large-scale Embedding Models
6. Machine Learning
7. Model Development
8. Model Validation
9. ML Pipeline Development
10. Data Analysis
11. Spark
12. Hive
13. SQL
14. Git

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 this position is $123,700.00 to $191,300.00 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.