[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Walmart · United States # (USA) Senior Manager, Data Science United States Manager or lead $143,000.00 - $286,000.00 Data & Analytics Listed on Walmart’s official careers site. Listed as of November 1, 2026. Check that it is still open and apply there. [Apply on Walmart’s careers site →](https://careers.walmart.com/us/en/jobs/R-2672757) [OpenNash Jobs](https://jobs.opennash.com/) / [Walmart](https://jobs.opennash.com/companies/walmart/) / (USA) Senior Manager, Data Science ## Job description Retail AI Foundations is part of the Retail Intelligence group within Walmart’s AI & Data organization. The team develops and deploys Generative AI and machine learning platforms, models, and services across Walmart’s highest-impact growth pillars—including AI Shopping, Social Commerce, Walmart Connect advertising, creator experiences, marketing, and rich-media content. Our Applied Science and ML Engineering teams build AI capabilities across Large Language Models (LLMs), image and video generation, and multimodal understanding. We partner with talented scientists, engineers, product managers, and business leaders to improve experiences for customers, associates, advertisers, and creators, while delivering measurable business outcomes. We are committed to exceeding industry standards through cutting-edge research, strong engineering execution, and responsible AI practices. ### Role Summary The Senior Manager, Data Science will lead an Applied Science and ML Engineering team within Retail AI Foundations. This leader will set the scientific and technical direction for production AI systems, working backward from customer needs and business priorities to define the problems, success measures, and investments that matter most. ### What You’ll Do Lead, mentor, and grow a high-performing team of Applied Scientists and ML Engineers. Define the technical roadmap and science investment strategy for LLMs, image and video generation, multimodal understanding, agentic simulation, and multi-agent systems. Translate priority business opportunities and customer-experience needs into AI product strategy, technical priorities, and measurable outcomes. Lead the end-to-end development of ML and GenAI capabilities, including data strategy, experimentation, model development, evaluation, deployment, and iteration. Partner across product, engineering, data, and business teams to deliver solutions for AI Shopping, Social Commerce, Walmart Connect, creator experiences, marketing, and rich-media content. Establish standards for model quality, safety, reliability, latency, scalability, and responsible AI. Guide architecture and model decisions spanning proprietary and open-weight models, post-training, fine-tuning, retrieval, and agentic workflows. Communicate strategy, technical tradeoffs, model performance, and business impact to senior leaders and cross-functional stakeholders. ### What You’ll Bring Strong expertise in machine learning, deep learning, NLP, information retrieval, analytics, and model evaluation. Experience delivering complex ML systems, particularly across Generative AI, computer vision, multimodal AI, or deep learning. Ability to turn customer and business needs into clear technical requirements, model designs, and scalable production solutions. Strong cross-functional communication skills, including the ability to align product, engineering, technical teams, and leadership. Experience with distributed training and inference frameworks, large-scale model serving, and massively parallel GPU systems. ### Preferred Qualifications 2+ years of people-management experience leading Applied Scientists, Data Scientists, or ML Engineers, and 7+ years of experience building machine learning models or algorithms for business applications. Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, Engineering, Robotics, Operations Research, Statistics, Mathematics, or a related quantitative field; or equivalent practical experience. Experience with LLM post-training and alignment, including supervised fine-tuning, reinforcement learning, RLHF, DPO, or related techniques. Experience with image or video generation models, multimodal understanding models, or production computer-vision systems. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see [https://one.walmart.com/notices](https://one.walmart.com/notices). Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock ## Qualifications ### Option 1 Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. ### Option 2 Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. ### Option 3 7 years' experience in an analytics or related field. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: Under a day - Location: United States - Pay: $143,000.00 - $286,000.00[Apply on Walmart’s careers site →](https://careers.walmart.com/us/en/jobs/R-2672757) ## More jobs at Walmart ### [(USA) Data Analyst II](https://jobs.opennash.com/companies/walmart/jobs/47de9a0eb4d5bdbe78e7/) United States ### [(USA) Director, Data Science](https://jobs.opennash.com/companies/walmart/jobs/c6705afdf5edca4f9cda/) United States ### [(USA) Distinguished, Data Scientist](https://jobs.opennash.com/companies/walmart/jobs/7353c8259f4cbbf8d2e6/) United States ### [(USA) Manager, Advanced Analytics](https://jobs.opennash.com/companies/walmart/jobs/0f909b41906424a3aceb/) United States ## Similar jobs at other companies ### [Finance & T/CIO Chief Data Office - Data Science Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/3818c2e87b9cba9afb23/) JPMorganChase · New York, NY, United States ### [Safety Data Science Consultant](https://jobs.opennash.com/companies/lowes/jobs/5494c02d030b7dfe24fd/) Lowe's · Mooresville, NC ### [Data Science Vice President - Wealth Management](https://jobs.opennash.com/companies/jpmorganchase/jobs/62e4bc252e15092d5626/) JPMorganChase · New York, NY, United States ### [Director - Genomics Data Science](https://jobs.opennash.com/companies/eli-lilly/jobs/6f5f77460b9cdf8b81cf/) Eli Lilly · Boston, Massachusetts, United States of America ### [Data Science - Forward Deployed Engineer: PhD Internship Opportunities](https://jobs.opennash.com/companies/microsoft/jobs/b42d6bf0972b02932006/) Microsoft · United States, Washington, Redmond OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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