The Role
Leads applied scientists in building and deploying AI, GenAI, machine learning models, and agentic solutions for merchandising, supply chain, and store operations. Develops anomaly investigation tools, integrates LLMs, retrieval, classical ML, and causal techniques, and mentors technical teams. Partners with product, engineering, and business stakeholders to deliver scalable, production-grade solutions using Python, distributed systems, ML pipelines, and cloud platforms.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges. This role requires deep expertise in statistical analysis, coding, and data strategy to translate business needs into scalable, data-driven insights. You will guide cross-functional teams, mentor associates, and collaborate with stakeholders to drive impactful outcomes. Your work will support Walmart’s commitment to innovation, operational excellence, and delivering measurable value through cutting-edge data science methodologies and technologies.
About the team:
Our team collaborates closely with Walmart U.S. stores and eCommerce to enhance customer experience through technological innovation. We empower team members, stores, and merchants by developing advanced solutions across groceries, entertainment, sporting goods, and crafts. Our focus areas include customer engagement, in-store service, merchant tools, data science, and personalized search. Leveraging expertise in machine learning, natural language processing, and data analytics, we drive impactful initiatives that support Walmart’s commitment to delivering value and convenience across multiple shopping platforms, including Walmart.com, mobile apps, and physical stores.
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.
Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges. This role requires deep expertise in statistical analysis, coding, and data strategy to translate business needs into scalable, data-driven insights. You will guide cross-functional teams, mentor associates, and collaborate with stakeholders to drive impactful outcomes. Your work will support Walmart’s commitment to innovation, operational excellence, and delivering measurable value through cutting-edge data science methodologies and technologies.
About the team:
Our team collaborates closely with Walmart U.S. stores and eCommerce to enhance customer experience through technological innovation. We empower team members, stores, and merchants by developing advanced solutions across groceries, entertainment, sporting goods, and crafts. Our focus areas include customer engagement, in-store service, merchant tools, data science, and personalized search. Leveraging expertise in machine learning, natural language processing, and data analytics, we drive impactful initiatives that support Walmart’s commitment to delivering value and convenience across multiple shopping platforms, including Walmart.com, mobile apps, and physical stores.
What you'll do:
- Lead a team of applied scientists in developing innovative AI-driven solutions.
- Build and ship GenAI applications using the latest agentic frameworks to automate merchant and operator workflows and unlock significant time savings.
- Design and deploy models and agents that automatically investigate anomalies across merchandising, supply chain, and store operations surfacing the "why" behind business signals.
- Research and integrate state-of-the-art techniques across LLMs, agents, retrieval, and classical ML; mentor scientists and engineers and set the technical bar for the team.
- Partner cross-functionally with product, engineering, and business stakeholders to translate ambiguous problems into well-scoped, high-impact AI solutions.
What you'll bring:
- 7+ years of Applied Scientist / MLE experience with a strong track record of shipping ML models to production in high-scale environments, ideally across multiple domains (pricing, forecasting, supply chain, ops).
- Deep core ML/AI fundamentals (supervised, deep learning, time-series, causal/RCA) combined with heavy hands-on GenAI experience LLMs, fine-tuning, evaluations, agent orchestration.
- Strong MLE and software engineering chops, production-grade Python, distributed systems, ML pipelines, CI/CD for ML, and model monitoring.
- Experience with large-scale data systems (Spark/Hive) and cloud platforms (GCP / Azure).
- Proven leadership in mentoring teams and guiding technical development aligned with business objectives.
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.
Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, Publications or active peer reviewer in related journals or conference, 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 degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 5 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 3 years of experience in an analytics-related field
- 7 years of experience in an analytics or related field
- Experience as an Applied Scientist or Machine Learning Engineer shipping machine learning models to production in high-scale environments
- Strong machine learning and artificial intelligence fundamentals, including supervised learning, deep learning, time series, causal analysis, and root-cause analysis
- Hands-on experience with generative AI, LLMs, fine-tuning, evaluations, and agent orchestration
- Production-grade Python and software engineering experience, including distributed systems, ML pipelines, CI/CD for ML, and model monitoring
- Experience with large-scale data systems such as Spark or Hive and cloud platforms such as GCP or Azure
- Leadership experience mentoring teams and guiding technical development aligned with business objectives
- Experience in data science, machine learning, or optimization models
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Publications or active peer-reviewer experience in related journals or conferences
- Successful completion of assessments in Python, Spark, Scala, or R
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best 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.
-
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.
