Senior, Data Scientist | Fraud & Risk Team | Sunnyvale
- Full Time
About the role
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.
About the Team:
As a Senior Data Scientist on Walmart's Fraud & Risk team within the Data & AI organization, you will leverage machine learning, deep learning, anomaly detection, and large-scale data to build and deploy predictive models that detect fraud, prevent abuse, and protect millions of customer interactions. Working closely with Data Scientists, Engineers, Product Managers, and business stakeholders, you will develop scalable AI-driven solutions that deliver measurable impact across one of the world's largest commerce ecosystems.
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
About Walmart Global Tech:
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
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.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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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.