Position Summary...What you'll do...**Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Sunnyvale, California; remote and hybrid options are not available.**
Are you a
hands-on Full Stack Senior Data Scientist who thrives on building and deploying production-scale machine learning systems? Join Walmart's Fraud & Risk team and help detect fraud, prevent abuse, and protect millions of customer interactions across one of the world's largest commerce ecosystems. Apply cutting-edge AI, deep learning, and large-scale data science to solve complex real-world challenges at global scale.
Role summary:We are looking for a passionate, creative full stack
Senior Data Scientist to join Walmart's fraud detection team. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce.
What you'll do: - Design, build and implement predictive models with high-dimensional, fast moving real time datasets.
- Own fraud/abuse risks in a product or segment of a product, be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data.
- Use ML/AI, deep learning and data mining techniques to develop robust models for anomaly detection such as bot detection.
- Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
- Unique opportunities in research and US patent filings to address new fraud issues, develop new tools or automate processes.
What you'll bring: - Ph.D. in Computer Science/Data Science/Statistics/Machine Learning, or a related quantitative field with 2+ years of industry experience, OR a Master's degree in a related quantitative discipline with 5+ years of relevant machine learning experience.
- Proficient in machine learning and data mining packages in Python.
- Experience working with large data sets and distributed computing tools (GCP/BigQuery experience preferred).
- Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform
- Production deployment experiences required.
- GenAI/Agentic AI experiences preferred
Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America
