The Role
Staff Data Scientist leading product analytics for Walmart discovery experiences, including home page, navigation, deals, and recommendations. Responsibilities include customer behavior analysis, metric development, large-scale A/B testing, causal inference, experiment readouts, SQL and Python-based analytical pipelines, ML-aware diagnostics, and stakeholder influence. The role partners with Product, Engineering, Business, UX, and Data Science teams to shape product strategy and improve customer experience.
Summary Generated by Built In
Position Summary...What you'll do...
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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
What you’ll do…
About the Team
The Discovery Product Analytics team partners closely with the Discovery Product Management, Engineering, and Business teams to build, evaluate, and scale product experiences on discovery and browse page including product design changes and machine learning–powered recommendation that help millions of Walmart customers discover the right products at the right time.
We provide the analytical foundations that shape customer relevance, experimentation frameworks, and product roadmap decisions for Walmart’s eCommerce platform.
Position Summary...
We are seeking a dynamic and experienced Staff, Data Scientist (Individual Contributor). You will be a technical expert driving analytical strategy focused on Home Page, Navigation, Deals and other discovery pages. You will own complex analytical workstreams, design and interpret large-scale experiments, and influence decisions across multiple cross-functional partners. If you’re excited about solving ambiguous, high-impact problems at the intersection of experimentation, product analytics, ML and customer experience, this role is a good fit for you.
Primary Responsibilities
1. Product Analytics Leadership
- Partner with Product Managers, Engineers, Data Scientists, and UX teams to define success metrics, measurement strategies, and opportunity assessments for product feature enhancements and recommendation algorithms.
- Translate ambiguous business or product questions into structured analytical approaches that influence prioritization and product direction.
2. Deep Customer & Behavioral Analysis
- Work closely with engineering and product to build clickstream tracking
- Leverage clickstream data, user logs, and customer engagement patterns to understand how customers interact with site features.
- Partner with personalization data science to increase adoption of personalization algorithms across discovery pages
- Conduct funnel analysis, opportunity sizing, cohort analysis, attribution, and retention of Walmart customers.
3. Experimentation Strategy & Execution
- Design and evaluate large-scale A/B tests and advanced experimentation methods (e.g., quasi-experimental approaches, causal inference).
- Ensure experiment integrity through appropriate power analysis, guardrail metrics, and thoughtful statistical methodologies.
- Produce end-to-end experiment readouts with clear conclusions, implications, and directional recommendations grounded in customer behavior.
4. ML-Aware & Technical Execution
- Use expert-level SQL to analyze large-scale datasets across platforms such as BigQuery, Hive, and Spark to uncover user behavior insights to use for model building and ad-hoc analysis
- Develop reproducible analytical pipelines and experiment workflows using Python and PySpark.
- Familiarity with ML concepts (e.g., predictive modeling using supervised and unsupervised ML methods, dimensionality reduction, clustering).
- Apply data mining and feature-level diagnostics to identify patterns that impact customer experience or ML performance.
5. AI aware
- Use prompt engineering and LLMs to simplify day-to-day work
- Hands-on experience to create innovative tools for workflow automation
6. Storytelling & Insight Influence
- Deliver compelling, concise narratives that translate analytical findings into product and business implications.
- Influence product and engineering leaders through data-backed recommendations and clear articulation of trade-offs.
7. Cross-Functional Collaboration
- Build strong relationships with Product, Engineering, Business and Data Science partners.
- Serve as a trusted voice who anticipates stakeholder needs, clarifies expectations, facilitates alignment, and drives shared accountability.
Preferred Qualifications
- Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field AND 8+ years of experience in product analytics, data science, applied analytics, or experimentation (OR Master’s degree + 6 years).
- Expert-level proficiency with SQL and strong programming skills in Python .
- Hands-on experience designing and analyzing large-scale A/B tests.
- Familiarity with machine learning model concepts and evaluation techniques sufficient to interpret model-driven product behavior and partner effectively with ML teams.
- Demonstrated ability to influence product strategy and partner with senior cross-functional stakeholders.
Success in This Role Looks Like
- Customer & Business Understanding: Ability to translate analytical findings into customer insight and connect to business strategy.
- Experimentation & Analytical Rigor: High-quality experiment design, sound statistical analysis, and clear, actionable readouts.
- Insight Generation & Storytelling: Ability to create compelling narratives that shape product and algorithmic decisions.
- Cross-Functional Collaboration: Strong communication, expectation management, and relationship-building across Product, Engineering, and Data Science.
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.Masters: Business Administration, Masters: Information Systems, Masters: StatisticsPrimary Location...809 11th 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 plus 4 years of analytics-related experience
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field plus 2 years of analytics-related experience
- Six years of experience in an analytics or related field
- Expert-level SQL proficiency
- Strong programming skills in Python
- Hands-on experience designing and analyzing large-scale A/B tests
- Familiarity with machine learning concepts and model evaluation techniques
- Ability to influence product strategy and collaborate with senior cross-functional stakeholders
- Experience in data science, machine learning, or optimization models
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Successful completion of an assessment in Python, Spark, Scala, or R
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
- Master's degree in Business Administration, Information Systems, or Statistics
- Knowledge of WCAG 2.2 AA, 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.
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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
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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.
