Walmart
(USA) Principal, Data Scientist: GenAI/ML
Walmart, Sunnyvale, California, United States, 94087
Position Summary
We are seeking a seasoned
Principal Data Scientist
with deep expertise in building and scaling ML products in production. This role is ideal for someone with a strong background in recommender systems, GenAI, and LLMs, and who thrives in a fast‑paced, technically rigorous environment.
Key Qualifications
12+ years in applied data science/ML (or 8+ with a PhD)
5+ years leading end‑to‑end ML products in production
Proven success in recommender systems, personalization at scale, or search—especially using LLMs and embeddings
Experience with GenAI systems, including RAG and agentic LLM workflows
Fine‑tuning LLMs (LoRA, DPO), reducing hallucinations, and implementing safety guardrails
Designed LLM evaluation pipelines for factuality, consistency, and relevance
Optimizing LLM inference: prompt caching, quantization, retrieval filtering
ML modeling for classification tasks (e.g., boosted trees)
Strong experimentation background: A/B testing, multi‑armed bandits, causal inference
Deep learning expertise with PyTorch, TensorFlow, or Keras
Data engineering collaboration: SQL/Spark pipelines, feature stores, batch serving
MLOps: deployment, monitoring, drift detection, CI/CD
Domain fluency in retail/food signals, seasonality, substitutions, and consumer engagement
Technical leadership: mentors team, sets roadmap, elevates code standards
Tooling: Python, SQL, PyTorch/TensorFlow, Spark, Airflow, GCP/Azure, Docker/Kubernetes, Git
About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We are a team of software engineers, data scientists, cybersecurity experts, and service professionals worldwide, driving the next retail disruption. People are why we innovate, and people power our innovations. We are people‑led and tech‑empowered. We train our team in future skillsets and bring in experts like you to help us grow. We have roles for those chasing their first opportunity and for those looking for a career‑defining position. Here, you can kick‑start a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay Area and New York/New Jersey.
Benefits In addition to a competitive base salary, you can receive incentive awards for performance. Other great perks include a 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and more.
Equal Opportunity Employer Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity—unique styles, experiences, identities, ideas, and opinions—while being inclusive of all people.
Minimum Qualifications Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years of experience in an analytics related field.
Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years of experience in an analytics related field.
Option 3: 7 years of experience in an analytics or related field.
Preferred Qualifications Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, publications or active peer reviewer in related journals or conference, successful completion of one or more assessments in Python, Spark, Scala or R, using open source frameworks (e.g., scikit‑learn, TensorFlow, PyTorch), background in creating inclusive digital experiences, accessibility best practices, WCAG 2.2 AA standards, assistive technologies, and digital accessibility integration.
Primary Location 809 11th Ave, Sunnyvale, CA 94089-4731, United States of America.
Contact and Legal Notice Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have 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.
#J-18808-Ljbffr
Principal Data Scientist
with deep expertise in building and scaling ML products in production. This role is ideal for someone with a strong background in recommender systems, GenAI, and LLMs, and who thrives in a fast‑paced, technically rigorous environment.
Key Qualifications
12+ years in applied data science/ML (or 8+ with a PhD)
5+ years leading end‑to‑end ML products in production
Proven success in recommender systems, personalization at scale, or search—especially using LLMs and embeddings
Experience with GenAI systems, including RAG and agentic LLM workflows
Fine‑tuning LLMs (LoRA, DPO), reducing hallucinations, and implementing safety guardrails
Designed LLM evaluation pipelines for factuality, consistency, and relevance
Optimizing LLM inference: prompt caching, quantization, retrieval filtering
ML modeling for classification tasks (e.g., boosted trees)
Strong experimentation background: A/B testing, multi‑armed bandits, causal inference
Deep learning expertise with PyTorch, TensorFlow, or Keras
Data engineering collaboration: SQL/Spark pipelines, feature stores, batch serving
MLOps: deployment, monitoring, drift detection, CI/CD
Domain fluency in retail/food signals, seasonality, substitutions, and consumer engagement
Technical leadership: mentors team, sets roadmap, elevates code standards
Tooling: Python, SQL, PyTorch/TensorFlow, Spark, Airflow, GCP/Azure, Docker/Kubernetes, Git
About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We are a team of software engineers, data scientists, cybersecurity experts, and service professionals worldwide, driving the next retail disruption. People are why we innovate, and people power our innovations. We are people‑led and tech‑empowered. We train our team in future skillsets and bring in experts like you to help us grow. We have roles for those chasing their first opportunity and for those looking for a career‑defining position. Here, you can kick‑start a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay Area and New York/New Jersey.
Benefits In addition to a competitive base salary, you can receive incentive awards for performance. Other great perks include a 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and more.
Equal Opportunity Employer Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity—unique styles, experiences, identities, ideas, and opinions—while being inclusive of all people.
Minimum Qualifications Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years of experience in an analytics related field.
Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years of experience in an analytics related field.
Option 3: 7 years of experience in an analytics or related field.
Preferred Qualifications Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, publications or active peer reviewer in related journals or conference, successful completion of one or more assessments in Python, Spark, Scala or R, using open source frameworks (e.g., scikit‑learn, TensorFlow, PyTorch), background in creating inclusive digital experiences, accessibility best practices, WCAG 2.2 AA standards, assistive technologies, and digital accessibility integration.
Primary Location 809 11th Ave, Sunnyvale, CA 94089-4731, United States of America.
Contact and Legal Notice Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have 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.
#J-18808-Ljbffr