As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and validation to support decision-making across multiple domains. You will collaborate with cross-functional teams to design scalable solutions, develop predictive models, build auto-research capabilities, communicate findings through effective data visualization — while also mentoring junior team members to build technical capability across the team and driving end-to-end projects. Your contributions will drive innovation and operational excellence, ensuring data-driven strategies align with business objectives and deliver measurable value.
About the team:
Our team develops foundational models tailored for Walmart’s e-commerce platform by leveraging large-scale user interactions to create detailed representations of users, products, and search queries. These models support scalable search, advertising, recommendation, and personalization solutions. Team members apply expertise in data science, machine learning, and software engineering to optimize model performance, training, and deployment. Emphasizing data quality, advanced analytics, and effective visualization, the team delivers actionable insights that drive key business outcomes. Collaboration across functions fosters innovation and continuous improvement within a dynamic technology environment.
What you'll do:
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Collaborate with cross-functional teams to translate business problems into data-driven solutions.
- Design, build, and validate predictive models using advanced statistical and machine learning techniques.
- Implement autonomous research loops where AI agents iteratively tune hyperparameters, modify training code/architecture, and run experiments against a defined objective metric (e.g., validation loss) with minimal human intervention.
- Automatically identify and select the best-performing models at the offline/experimentation level, reducing manual model-selection cycles.
- Deploy and monitor models in production, ensuring scalability and performance consistency.
- Mentor team members on analytical methods, coding best practices, and model development.
What you'll bring:
- Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
- Experience with model assessment, validation, and deployment in production environments.
- Hands-on experience building or operating agentic/autonomous research systems — e.g., AI agents that iteratively tune hyperparameters, modify training code/architecture with minimal human intervention.
- Experience running automated experimentation against defined objective metrics (AutoResearch loops), including auto-generated evaluation reports, offline best-model selection.
- Ability to translate complex business problems into data-driven solutions using advanced analytical modeling.
- Familiarity with MLOps practices and NLP techniques.
- Effective communication skills to present insights and mentor junior team members.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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.Primary Location...815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and four years of experience in an analytics-related field
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and two years of experience in an analytics-related field
- Six years of experience in an analytics or related field
- Expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing
- Proficiency in Python and data visualization tools such as Matplotlib, Plotly, or Tableau
- Experience with model assessment, validation, and deployment in production environments
- Hands-on experience building or operating agentic or autonomous research systems
- Experience running automated experimentation, generating evaluation reports, and selecting offline best-performing models
- Ability to translate complex business problems into data-driven solutions using advanced analytical modeling
- Familiarity with MLOps practices and NLP techniques
- Effective communication skills for presenting insights and mentoring junior team members
- Data science, machine learning, and optimization model experience
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Successful completion of assessments in Python, Spark, Scala, or R
- Experience with open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility practices
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.








