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Walmart
Sunnyvale, CA
Source: Walmart careers · View original posting
From Walmart's posting. “We” and “our” refer to the employer.
Position Summary...
What you'll do...
you’ll do…
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...
. You will own complex analytical workstreams, design and interpret large-scale experiments, and influence decisions across multiple cross-functional partners. If y ou’re excited about solving ambiguous, high-impact problems at the intersection of experimentation, product analytics, M
L 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.
).
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
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
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 :
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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 field
Preferred 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: Statistics
Primary Location...
809 11th Ave, Sunnyvale, CA 94089-4731, United States of America
Walmart 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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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