Staff, Data Scientist | Sunnyvale
Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 12, 2026. Walmart scores A on the Alion truth index.
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 Scientistwho 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:
The Staff, Data Scientist will leverage advanced analytical techniques and data science methodologies to deliver actionable insights that support strategic business decisions. This role involves identifying and validating data sources, developing predictive models, and deploying scalable solutions while ensuring data quality and governance standards. The position requires collaboration across functions to translate complex business challenges into data-driven solutions, utilizing expertise in machine learning, statistical analysis, and data visualization. The successful candidate will also mentor team members and contribute to continuous improvement initiatives aligned with organizational goals.
About the Team:
The Global Fraud data science team develops real-time and batch decisioning services using advanced machine learning and deep learning techniques to address fraud and risk within Walmart Inc. Focused on delivering a safe and seamless shopping experience, the team drives a proactive, outcome-oriented approach aligned with business goals. Emphasizing real-time decisioning, an adversarial mindset, and operational excellence through MLOps, the team leverages predictive analytics, data strategy, and artificial intelligence to optimize business value while maintaining robust frameworks that support continuous innovation and effective risk management.
What you'll do:
- Identify and source relevant data from multiple business domains and distributed data stores to support analytics initiatives.
- Perform data quality assessments and ensure data is fit for purpose in alignment with business requirements.
- Develop and validate predictive models using advanced statistical and machine learning techniques to address complex business problems.
- Create clear and impactful data visualizations to communicate insights effectively to stakeholders.
- Collaborate with cross-functional teams to translate business needs into data-driven solutions and strategies.
- Deploy and monitor models in production environments, ensuring scalability and performance.
- Mentor team members on analytical methods, coding best practices, and data storytelling.
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.
- Proficiency in predictive analytics, machine learning algorithms, and advanced statistical methods to develop and validate robust models.
- Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, or Tableau.
- In-depth understanding of data strategy, including data quality standards, governance, and scalable data storage solutions.
- Ability to translate complex business requirements into data-driven solutions and actionable insights.
- Experience with exploratory data analysis, feature engineering, and model deployment in production environments.
- Knowledge of database technologies including SQL and NoSQL for effective data sourcing and management.
- Excellent communication skills to present technical findings clearly to business stakeholders.
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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred 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, PhD 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.