The Role
Lead development and deployment of generative and conversational AI systems (LLMs and agentic workflows). Build end-to-end pipelines, perform modeling, evaluation, monitoring, and A/B testing. Collaborate cross-functionally, ensure data quality and governance, communicate insights, and mentor junior team members to drive product impact at scale.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
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 involves identifying optimal data sources, developing predictive models, and deploying scalable solutions that drive strategic decision-making. You will collaborate across functions to align data strategies with business objectives, ensuring data quality and governance standards are met. Your expertise in data visualization and communication will support clear stakeholder engagement, while mentoring team members to foster technical excellence and continuous innovation within a dynamic, data-driven environment.
About the team:
The team leads advanced data science initiatives focused on enhancing multi-agent orchestration, personalization, and experience quality across key product areas such as PDP, PLP, and checkout. With expanding responsibilities, the team requires strong ownership of end-to-end data science solutions, including modeling, system quality, and cross-functional collaboration. This role demands senior technical leadership to address complex challenges in search integration, ranking, and agentic actions, ensuring timely delivery of roadmap commitments and maintaining high standards of customer experience at scale. The team drives significant business impact through innovative data strategies and execution excellence.
What you'll do:
What you'll bring:
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
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 involves identifying optimal data sources, developing predictive models, and deploying scalable solutions that drive strategic decision-making. You will collaborate across functions to align data strategies with business objectives, ensuring data quality and governance standards are met. Your expertise in data visualization and communication will support clear stakeholder engagement, while mentoring team members to foster technical excellence and continuous innovation within a dynamic, data-driven environment.
About the team:
The team leads advanced data science initiatives focused on enhancing multi-agent orchestration, personalization, and experience quality across key product areas such as PDP, PLP, and checkout. With expanding responsibilities, the team requires strong ownership of end-to-end data science solutions, including modeling, system quality, and cross-functional collaboration. This role demands senior technical leadership to address complex challenges in search integration, ranking, and agentic actions, ensuring timely delivery of roadmap commitments and maintaining high standards of customer experience at scale. The team drives significant business impact through innovative data strategies and execution excellence.
What you'll do:
- Design and develop Generative AI and conversational systems powered by transformer-based LLM architectures (e.g., GPT, Claude, Gemini).
- Lead the development of agentic AI systems, including system design for multi-agent workflows, reasoning chains, tool use, and orchestration frameworks.
- Develop and optimize prompt engineering strategies, including system prompts, structured prompting, retrieval augmentation, and guardrail design.
- Build and deploy end-to-end conversational AI pipelines, from data preparation and model training to evaluation, and monitoring.
- Analyze conversational data to identify patterns, perform error analysis, and continuously improve model quality and user experience.
- Design evaluation frameworks and experimentation methodologies for conversational AI systems, including offline benchmarks and online A/B testing.
What you'll bring:
- Proven expertise in predictive analytics, machine learning algorithms, and data science methodologies.
- Proficiency in Python programming and experience with data pipelines
- Strong understanding of data strategy, including data quality, governance, and scalable data storage solutions.
- Ability to assess, validate, and tune models using statistical and machine learning techniques.
- Experience interpreting complex business contexts to translate requirements into actionable data solutions.
- Skilled in deploying and monitoring models in production environments with continuous performance evaluation.
- Effective communication skills to present data insights and guide 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
ㅤ
ㅤ
ㅤ
ㅤ
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...1375 Crossman Ave, Sunnyvale, CA 94089-1114, 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 in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field; OR Master's in those fields and 2 years' experience; OR 6 years' experience in analytics or related field.
- Proven expertise in predictive analytics, machine learning algorithms, and data science methodologies.
- Proficiency in Python programming and experience with data pipelines.
- Strong understanding of data strategy, including data quality, governance, and scalable data storage solutions.
- Ability to assess, validate, and tune models using statistical and machine learning techniques.
- Experience deploying and monitoring models in production environments with continuous performance evaluation.
- Effective communication skills to present data insights and guide junior team members.
- 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 using open source frameworks (for example, scikit-learn, TensorFlow, PyTorch).
- Experience building/designing Generative AI and conversational systems using transformer-based LLMs and agentic AI systems (e.g., GPT, Claude, Gemini).
- Knowledge of accessibility best practices and WCAG 2.2 AA standards and assistive technologies.
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.
-
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.
-
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.
-
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
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
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.
