Staff Data Scientist – MLE, Recommendations & Personalization
Walmart
full-time
Posted on:
Location Type: Office
Location: Sunnyvale • California • 🇺🇸 United States
Visit company websiteSalary
💰 $143,000 - $286,000 per year
Job Level
Lead
Tech Stack
Distributed Systems
About the role
- Design the end-to-end feature architecture supporting candidate generation, ranking, and re-ranking.
- Lead the design and evolution of feature stores optimized for recsys workloads.
- Define standards for feature versioning, lineage, freshness SLAs, and point-in-time correctness.
- Drive feature engineering best practices across multiple recommendation teams.
- Mentor Senior engineers on recsys feature design and scalable data systems.
- Own critical feature pipelines that directly impact revenue and engagement.
Requirements
- 4+ years in data engineering, ML engineering, or recsys platform roles.
- Deep expertise in distributed systems and large-scale data processing.
- Proven experience architecting feature platforms for recommendation systems.
- Strong understanding of ranking architectures, candidate generation, and personalization patterns.
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, or Master’s degree in the same areas with 2 years' experience.
Benefits
- Incentive awards for performance.
- 401(k) match.
- Stock purchase plan.
- Paid maternity and parental leave.
- PTO.
- Multiple health plans.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringML engineeringrecsys platformdistributed systemslarge-scale data processingfeature platformsranking architecturescandidate generationpersonalization patternsfeature engineering
Soft skills
leadershipmentoringcollaborationcommunication
Certifications
Bachelor’s degreeMaster’s degree