Senior Data Scientist

Walmart

. Develop, evaluate, and deploy advanced AI models and algorithms for Walmart customer and business experiences .

Posted 10/27/2026full-timeSunnyvale • California • United StatesSenior💰 $117,000 - $234,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying advanced AI models, including machine learning and generative AI techniques. Proficient in collaborating with cross-functional teams to define technical requirements and optimize model performance in production environments.

Highest-signal resume keywords

Python ExpertiseMachine LearningDeep LearningModel EvaluationMultimodal AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model DevelopmentGenerative AINLPInformation RetrievalComputer VisionDataset CurationFeature EngineeringA/B TestingBenchmarkingOptimization Techniques

Soft Skills

CommunicationMentoring

Tools & Technologies

Large-Scale Model ServingDistributed TrainingGPU SystemsAI Coding Assistants

Certifications & Qualifications

Bachelor’s Degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or Related FieldMaster’s or PhD in Quantitative Field (Preferred)

Industry Keywords

Retail Training DataSynthetic Data ApproachesReinforcement LearningRLHFDPO

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop, evaluate, and deploy advanced AI models and algorithms for Walmart customer and business experiences
Build, evaluate, and improve ML and Generative AI models across LLMs, image and video generation, multimodal understanding, and agentic systems
Develop data and evaluation strategies, including dataset curation, exploratory analysis, feature engineering, error analysis, ground truth, and offline evaluation
Design and execute model experiments, benchmarking, and A/B tests
Apply post-training, fine-tuning, retrieval, prompting, and optimization techniques
Partner with product, engineering, data, and business teams to define technical requirements, success metrics, and deployable solutions
Work with ML Engineers to deploy, monitor, and iterate on models in large-scale production environments
Communicate technical recommendations and model results to stakeholders
Mentor junior scientists and engineers on experimentation and responsible AI practices

Requirements

What you’ll need

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field; or Master’s degree in those fields and 1 year’s experience; or 5 years' experience in an analytics or related field
Strong hands-on expertise in Python, machine learning, deep learning, NLP, information retrieval, computer vision, multimodal AI, and model evaluation
Experience adapting open-weight models through model selection, post-training, fine-tuning, and evaluation
Experience benchmarking models and participating in A/B tests
Experience optimizing training and inference architectures for quality, cost, latency, throughput, scalability, and reliability
Experience creating retail training and evaluation data, including dataset sourcing and curation, unsupervised or weakly supervised learning, synthetic-data approaches, and ground-truth development
Experience with distributed training and inference, large-scale model serving, and massively parallel GPU systems
Ability to use AI coding assistants effectively and build production agentic AI applications
Master’s or PhD in a quantitative field, or equivalent practical experience (preferred)
Experience with LLM post-training and alignment, including supervised fine-tuning, reinforcement learning, RLHF, or DPO (preferred)
Experience with image or video generation, multimodal understanding, or production computer-vision systems (preferred)
Experience operating LLM- or agent-based systems at production scale (preferred)

Benefits

Comp & perks

Performance-based bonus awards
Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO, including sick leave
Parental leave
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, sick leave, and holiday time through PTO and/or PPTO
Walmart-paid education benefits through Live Better U
Tuition, books, and fees completely paid for eligible education programs
Additional compensation may include stock