# Staff, Data Scientist | Machine Learning (Fraud & Risk) | Sunnyvale Source: https://realanalystjobs.com/job/staff-data-scientist-machine-learning-fraud-and-risk-sunnyvale-wal-mart-com-usa-e8886819 Staff, Data Scientist | Machine Learning (Fraud & Risk) | Sunnyvale at Wal-Mart.com USA, an on-site role based in (USA) SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE Home, USA. Experience level: 4 Years. Posted on 10 November 2026, read from Wal-Mart.com USA's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. The posting says the employer will not sponsor a visa for this role. Wal-Mart.com USA has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Wal-Mart.com USA](https://realanalystjobs.com/companies/wal-mart-usa) - Location: (USA) SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE Home, USA - Work mode: On-site - Posted: Nov 10, 2026 - Employment type: Full time - Experience level: 4 Years - Source: Wal-Mart.com USA's careers page (Workday), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), [Tableau](https://realanalystjobs.com/skills/tableau), [Power BI](https://realanalystjobs.com/skills/power-bi) ## Visa sponsorship The posting says the employer will not sponsor a visa for this role. Wal-Mart.com USA had H-1B petitions approved for 2,392 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/wal-mart-usa#h1b-record) ## About this 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 Data Scientist who can architect machine learning solutions for complex business challenges, own the journey from model development to production deployment, and drive large-scale impact using AI, deep learning, and GenAI at Walmart ? Role summary : As a Staff Data Scientist , you will architect machine learning solutions for complex and ambiguous business problems , perform hands-on data exploration, processing, and analysis on massive datasets, and leverage state-of-the-art machine learning, deep learning, data mining, and GenAI techniques to develop scalable predictive models. You will design low-latency services to host and productionize models on the cloud, research advanced algorithms to solve challenging business problems, and communicate results to stakeholders through impactful presentations, publications, and internal or external conferences, while contributing to the team's core machine learning and software engineering capabilities. About the Team : Our team collaborates closely with Walmart U.S. stores and eCommerce to enhance customer experiences by empowering associates, stores, and merchants through technological innovation. We support a broad product range, including groceries, entertainment, sporting goods, and crafts, available online and in-store. Key focus areas include customer engagement, store operations, merchant tools, data science, and personalized search solutions. Leveraging advanced analytics and data-driven insights, the team drives continuous improvement to meet business goals and deliver value across multiple channels, ensuring Walmart remains a trusted and convenient shopping destination. What you'll do : • Identify and source relevant data from multiple business domains and databases to support analytics initiatives. • Perform data quality assessments and ensure data integrity for accurate model development. • Develop, validate, and tune predictive models using advanced statistical, machine learning, deep learning, LLM techniques. • Design and implement data visualizations to effectively communicate insights to stakeholders. • Collaborate with cross-functional teams to translate business requirements into data-driven solutions. • Deploy and monitor models in production environments, ensuring scalability and performance. • Mentor team members on analytical methods, coding best practices, and solution design. What you'll bring : • Ph.D. in Computer Science, Data Science, Statistics, Machine Learning, Artificial Intelligence, Mathematics , or a related quantitative field with 5+ years of relevant industry experience , or a Master's degree in a related quantitative discipline with 7+ years of experience architecting, building, and deploying machine learning solutions in production. • Proven expertise in data science, including predictive analytics, machine learning algorithms, and deep learning techniques . • Proficiency in programming languages such as Python and experience with data visualization tools like Matplotlib, Plotly, Tableau, or PowerBI. • Strong knowledge of data strategy, data quality standards, and data governance principles. • Experience with big data analytics, unstructured data processing, and MLOps for model deployment and scaling. • Ability to assess, validate, and tune models using statistical methods and evaluation metrics. • Skilled in translating complex business requirements into data-driven solutions and actionable insights. • Effective communication skills to present data findings clearly to stakeholders and guide junior team members. 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 opinion Description from Wal-Mart.com USA's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/staff-data-scientist-machine-learning-fraud-and-risk-sunnyvale-wal-mart-com-usa-e8886819) and use Apply now there to reach the employer's application. The listing is re-checked against Wal-Mart.com USA's careers page daily and removed when it closes. ## Wal-Mart.com USA 59 open analyst roles on Real Analyst Jobs. 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