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# Sr. Data Scientist

- **Company:** Visa Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $123,700.0 - $191,300.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Data Cleansing, Information Engineering, Apache Hive, Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Feature Engineering, Apache Spark, Information Technology, Machine Learning Operations
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=52bfff1ee7bcc28e

## About the Role

* 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

## Description

Visa'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., * 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.


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