Job DescriptionVisa's Post Purchase organization is building AI-driven decision intelligence across dispute resolution and recovery products, including RDR, CDRN, VDRN, and Recover. We are seeking a Senior Data Scientist to contribute to high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale.
This is a Senior-level individual contributor role for someone who thrives in ambiguity, owns complex problem spaces, and drives solutions from concept through production with measurable business impact. You will work with large-scale transactions and dispute data to develop models that enhance decision quality and enable scalable, intelligent systems.
Key Responsibilities
- Support machine learning and analytics initiatives across dispute decisioning, merchant matching, and recovery analysis
- Assist in the development of ML lifecycle components, including data preparation, feature engineering, model training, and evaluation
- Analyze large-scale transaction and dispute datasets to identify trends, patterns, and opportunities
- Collaborate with Product, Engineering, and Data Engineering teams to translate business requirements into analytical solutions
- Contribute to model performance tracking, validation, and reporting
- Support experimentation efforts by helping design, execute, and analyze tests
- Assist in documenting models, methodologies, and results to support transparency and adoption
- Stay current on emerging tools and techniques, including AI/ML and GenAI, and apply them where appropriate
What Sets This Role Apart
- Opportunity to work on high-impact datasets within Visa's Post Purchase ecosystem
- Exposure to AI/ML applications in real-world payment and dispute systems
- Collaboration with experienced Data Scientists, Engineers, and Product teams
- Ability to contribute to scalable solutions that improve automation and decision-making
This is a hybrid position. The number of in-office days will be confirmed by the hiring manager.
QualificationsBasic Qualifications
- 2+ years of relevant work experience with a Bachelor's degree, OR
- 5+ years of relevant work experience
- Master's graduates must have 2+ years of relevant work experience to qualify
- Exposure to data science, analytics, or machine learning concepts
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
- Experience applying data analysis or entry-level ML techniques to business problems
- Proficiency in Python or R, and SQL for data analysis
- Familiarity with data processing tools or frameworks (e.g., Spark, Hive)
- Understanding of basic machine learning concepts and evaluation methods
- Exposure to experimentation or A/B testing methodologies is a plus
- Ability to work collaboratively in cross-functional environments
- Strong problem-solving and communication skills
U.S. Applicants OnlyThe 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.
Work HoursVaries upon the needs of the department.
Travel RequirementsThis position requires travel 5-10% of the time.
Mental/Physical RequirementsThis 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.
