Jobs
Benefits & Perks
•Flexible PTO policy
•Health, dental, and vision coverage
•Top Tier compensation with equity
•Parental leave program
•Annual team offsites
•Remote work flexibility
Required Skills
PyTorch
SQL
TensorFlow
About Us
Help us enable everyone on the planet to gain access to the global economy by being the best way to pay and be paid.
Size: 10000+ employees
Industry: Technology, Fintech, Engineering, Information Technology
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 Staff Data Scientist (multiple openings) in Washington, DC to:
- Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting and presenting modeling and analytical results to non-technical audience.
- Conducting research using latest and emerging modeling technologies and tools to solve new fraud detection business problems like merchant acceptance fraud detection and/or improve existing production models’ performance for fraud related business context.
- Improving the modeling process through MLOps and automation to drive efficiency and effectiveness.
- Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production.
- Managing model risks in line with Visa Model Risk Management requirements.
- Conducting modeling analysis to address internal and external clients’ questions and requests.
- Position reports to the Washington, DC office and may allow for partial telecommuting.
Qualifications
Basic Qualifications:
- Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics or related field and 6 years of experience in the job offered or in a Data Scientist or Data Analyst-related occupation.
- Position requires the following:
- Developing predictive models using Machine learning or Statistical Modeling (e.g. XGBoost).
- Scripting in Python, Unix or Linux.
- Using SQL for extracting and aggregating data.
- Experience with Hadoop or related big data query engine such as Py Spark or Scala Spark.
- Experience with Model Risk Management.
Additional Information
Email Address
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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 $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.
Client-provided location(s): Washington, DC
Job ID: aa5f8727-cf55-4d3b-b1a0-9c08447f1a41
Employment Type: OTHER
Posted: 2025-11-25T17:38:00
Apply on company site
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)
Apply on company site
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About Visa
Reviews
2.0
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.3
10%
Recommend to a Friend
Pros
Active recruiting for senior positions
Work authorization support for spouses
Opportunity to seek external roles
Cons
Toxic work environment
Below-market compensation offers
Poor management and leadership
Salary Ranges
23 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
1 reports
$106,195
total / year
Base
$92,300
Stock
-
Bonus
-
$106,195
$106,195
Interview Experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment
3
Phone Screen
4
Technical Interview Rounds
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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