Senior, Data Scientist at Walmart Sunnyvale, CA

null; Sunnyvale (CA); On-site; USD 117,000 - 234,000; Full time

Benefits offered by this job

401(k) match

Paid maternity and parental leave

Health, vision, and dental coverage

Job summary

Walmart Global Tech in Sunnyvale, CA is seeking a Senior Data Scientist to develop cutting-edge machine-learning and AI solutions. In this role, you will work with multimodal data, design generative models, and ensure seamless integration across teams.

The ideal candidate has strong deep-learning expertise and a PhD in a relevant field. This position offers a competitive salary ranging from $117K to $234K, along with attractive benefits like a 401(k) match and health coverage.

Qualifications

• Expertise in deep-learning based generative/multi-modal models or comparable research experience.
• Experience developing models for multimodal synthetic data generation.
• Strong proficiency in Python and data-science libraries.

Responsibilities

• Develop and apply state-of-the-art deep-learning generative models and multi-modal models.
• Collaborate with engineering teams to define interfaces and resolve integration challenges.
• Standardize and build scalable, highly available systems.

Skills

Deep-learning based generative models

Python proficiency

Experience with multimodal models

Data science libraries (NumPy, Pandas, PyTorch)

Prompt engineering

Education

PhD in computer science, statistics, data science, mathematics

Master’s degree in a quantitative field

Bachelor’s degree in a quantitative field

Tools

SQL

BigQuery

GPU MLOps

Job description

Job Summary

Senior Data Scientist at Walmart Global Tech – Sunnyvale, CA. The Revenue and Marketing Data Science Team develops machine‑learning and AI solutions for marketing, advertising, and social commerce, helping Walmart and partners connect with customers through personalized, AI‑driven experiences.

Responsibilities

• Develop and apply state‑of‑the‑art deep‑learning generative models and multi‑modal models such as text, image, and video generation, capturing multimodal data relationships.
• Evaluate trade‑offs between open‑source and cloud APIs for multimodal Gen‑AI in terms of performance and cost efficiencies.
• Work with large‑scale data and curate in‑house domain datasets from scratch.
• Collaborate with engineering teams to define interfaces, understand dependencies, and resolve integration challenges.
• Standardize and build scalable, highly available systems following operational best practices.
• Develop visualizations and reports to communicate model results and insights to business teams effectively.
• Maintain world‑class academic credentials through patents, publications, conference presentations, and external collaboration.

Qualifications

• Expertise in deep‑learning based generative/multi‑modal models or comparable research experience.
• Experience with multimodal generative models for text, image, audio, and video.
• Experience with vision‑language models (VLMs) for classification, detection, segmentation, keypoint detection, and similarity tasks.
• Experience developing models for multimodal synthetic data generation.
• Experience fine‑tuning and deploying large deep‑learning models.
• Experience with prompt engineering and agentic AI design.
• Strong proficiency in Python and data‑science libraries (NumPy, Pandas, PyTorch, etc.).
• Advanced degree in computer science, statistics, data science, mathematics, or a related field; PhD a plus.
• Publications in top ML/AI/NLP conferences (e.g., NeurIPS, ICML, ACL, CVPR) a plus.
• Familiarity with Java, Python, Bash, PyTorch, BigQuery, SQL, distributed training, GPU MLOps, CI/CD, FAISS, vector stores, and agent SDKs.

Minimum Qualifications

• Bachelor’s degree in a quantitative field with 3 years of analytics experience.
• Master’s degree with 1 year of analytics experience.
• At least 5 years of experience in an analytics or related field.

Preferred Qualifications

• Advanced knowledge of data science and machine‑learning techniques, optimization models, and proficiency in Python, Spark, Scala, or R.
• Experience implementing web accessibility standards (WCAG 2.2 AA) and creating inclusive digital experiences.

Benefits

• Competitive base salary ($117K‑$234K) with performance bonuses.
• 401(k) match, stock purchase plan, and incentive awards.
• Paid maternity, parental, and additional family leave.
• Paid time off (PTO), sick leave, and holidays.
• Health, vision, and dental coverage; short‑term and long‑term disability.
• Additional perks such as tuition reimbursement, adoption and surrogacy reimbursement, and company discounts.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We value diversity, inclusiveness, and respect for all individuals and are committed to providing a drug‑free workplace.