Job Description
Position Summary...
What you'll do...
What you’lldo…
About the Team
TheDiscoveryProduct Analytics team partners closely with theDiscoveryProduct Management, Engineering, andBusinessteams to build, evaluate, and scaleproduct experiences on discovery and browse page including product design changes andmachine 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 areseekinga dynamic and experiencedStaff,Data Scientist (Individual Contributor). Youwill be a technicalexpertdriving analytical strategyfocused on Home Page, Navigation,Dealsand other discovery pages. You will own complex analytical workstreams, design and interpret large-scale experiments, and influence decisions across multiple cross-functional partners. Ifyou’reexcited about solving ambiguous, high-impact problems at the intersection ofexperimentation,productanalytics,MLand customer experience, this role isa good fitfor 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 forproductfeatureenhancements 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,userlogs, and customer engagement patterns to understand how customers interact withsitefeatures.
- Partner with personalization data science to increase adoption of personalization algorithms across discovery pages
- Conduct funnel analysis, opportunity sizing,cohortanalysis, attribution, and retentionof 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 throughappropriate poweranalysis, 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-levelSQLto analyze large-scale datasets across platforms such asBigQuery, Hive, and Sparkto uncover user behavior insights to use for model building and ad-hoc analysis
- Develop reproducible analytical pipelines and experiment workflows usingPythonandPySpark.
- Familiarity with ML concepts (e.g., predictive modeling using supervised and unsupervised ML methods, dimensionality reduction, clustering).
- Apply data mining and feature-level diagnostics toidentifypatterns thatimpactcustomer experience or ML performance.
5. AI aware
- Use prompt engineering and LLMsto simplify day-to-day work
- Hands-on experiencetocreate 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,Businessand Data Science partners.
- Serve as a trusted voice whoanticipatesstakeholder needs, clarifies expectations,facilitatesalignment, and drives shared accountability.
PreferredQualifications
- Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field AND8+years of experiencein product analytics, data science, applied analytics, or experimentation(ORMaster’sdegree +6years).
- Expert-levelproficiencywithSQLand strong programming skills inPython.
- Hands-on experience designing and analyzinglarge-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.
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.Numbers & Facts
| Location | Sunnyvale, California |
| Industry | Retail |
| Salary | $143,000–$286,000 Per Year |
| Company Size | 10,000 employees or more |
| Year Founded | 1962 |
| Website | https://careers.walmart.com/ |
About Company
What started small, with a single discount store and the simple idea of selling more for less, has grown over the last 50 years into the largest retailer in the world. Each week, nearly 265 million customers and members visit our more than 11,200 stores under 55 banners in 27 countries and eCommerce websites in 10 countries. With fiscal year 2018 revenue of $500.3 billion, Walmart employs over 2.2 million associates worldwide. Walmart continues to be a leader in sustainability, corporate philanthropy and employment opportunity. It’s all part of our unwavering commitment to creating opportunities and bringing value to customers and communities around the world.
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