FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning, particularly in ranking and recommendation systems, while applying Generative AI and neural networks to enhance customer personalization. Proven ability to lead complex initiatives, ensuring data quality and deploying scalable ML solutions in production environments.
Highest-signal resume keywords
Machine Learning ExpertiseRanking And Recommendation SystemsGenerative AI And LLMsPython ProficiencyData Pipeline Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningRanking SystemsRecommendation SystemsInformation RetrievalData VisualizationLearning-to-RankNeural NetworksEmbeddingsStatistical MethodsModel Evaluation
Soft Skills
Strong CommunicationCross-Functional CollaborationLeadership
Tools & Technologies
PythonBigQueryPySparkHiveMLOps
Industry Keywords
Data QualityA/B TestingExperimentationCustomer ExperienceApplied Research
Tech Stack
Tools & technologiesBigQueryPySparkPython
About the role
Key responsibilities & impact- Drive innovation across Walmart’s BuyBox, Search & Personalization ecosystem
- Develop next-generation machine learning solutions spanning ranking, recommendation systems, Generative AI, and neural networks
- Lead high-impact initiatives from problem formulation and research through experimentation, deployment, and continuous improvement
- Identify appropriate data sources, ensure data quality, and develop scalable models supporting customer and business decisions
- Lead advanced ML solutions for BuyBox offer ranking, Variant Leader Selection, Search, and Personalization
- Build and advance ranking and recommendation systems using Learning-to-Rank, deep learning, and modern ML techniques
- Apply GenAI, LLMs, and neural networks to improve ranking, semantic understanding, personalization, and customer experience
- Drive research and innovation, translating new ideas into scalable production solutions
- Lead projects through problem definition, modeling, offline evaluation, A/B testing, production deployment, and impact measurement
- Partner with Product, Engineering, Analytics, and business stakeholders on strategy and technical roadmaps
- Provide technical leadership, establish ML best practices, and mentor Data Scientists
- Deploy and monitor models in production environments, ensuring performance and scalability
Requirements
What you’ll need- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field; OR Master's degree in one of these fields and 2 years' experience; OR 6 years' experience in an analytics or related field
- Proven expertise in machine learning, ranking, recommendation systems, information retrieval, and personalization
- Proficiency in Python, BigQuery, PySpark, Hive, and data visualization tools
- Deep understanding of Learning-to-Rank, neural networks, embeddings, representation learning, and modern recommendation techniques
- Experience applying Generative AI and LLMs to real-world machine learning problems
- Experience building and deploying data pipelines, MLOps, and large-scale production ML systems
- Strong knowledge of experimentation, A/B testing, statistical methods, and model evaluation
- Ability to lead complex, ambiguous initiatives and influence technical direction across teams
- Strong communication and cross-functional collaboration skills
- Passion for innovation, applied research, and delivering measurable customer and business impact at scale
- Must work at the Sunnyvale, California location
Benefits
Comp & perks- Incentive awards for performance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO, including sick leave
- Multiple health plans
- Medical, vision, and dental coverage
- Company-paid life insurance
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Vacation, holidays, and other PTO/PPTO
- Live Better U Walmart-paid education benefit, including fully paid tuition, books, and fees for programs from high school completion to bachelor's degrees, English Language Learning, and short-form certificates
