(USA) Staff, Data Scientist

Reference: R-2463783Posted: 2026-04-02Location: BENTONVILLE, AR, United States; Sunnyvale, CASalary: $110000 - $220000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficeAs a Staff Data Scientist at Walmart, you will leverage Computer Vision algorithms, Generative AI methods, deep learning architectures, VLMs and state-of-the-art techniques to build and deploy advanced retail solutions. This role requires expertise in data sourcing, model development, validation, and deployment within complex data ecosystems. You will collaborate cross-functionally to translate business challenges into data-driven solutions, ensuring alignment with organizational goals. By applying rigorous analytical methods and guiding junior team members, you will contribute to optimizing processes and enhancing data strategy, supporting Walmart’s commitment to innovation and operational excellence. About Team: Corporate Technology ServicesOur team is focused on developing a streamlined, dependable company that includes service operations and technology solutions for Finance, People, and Associate Digital Experience (ADE). We also provide a variety of services such as procurement, supplier portfolio management, merchandising master data, and analytics. From developing HR chatbots and virtual assistants to creating invoice solutions and facilitating legal changes, we help drive efficiency across Walmart globally. Global Governanace within Tech strategy and emerging techWhat you'll do:Design, train, and deploy computer vision models for object detection, image-based personalization, including product discovery, visual recommendations, and generative image content.Build and scale foundation model pipelines that leverage multimodal signals — including text, images, and customer embeddings — to power highly personalized visual experiences.Mentor team members on best practices, lead innovation efforts on image generative modeling, including diffusion models, CNNs, or text-to-image synthesis aligned with retail context.Design model workflow that integrates with MLOps to optimize model performance and latency, deploy and monitor models in production environments, ensuring performance and scalability.Collaborate with cross-functional teams to translate business requirements into data-driven solutions.What you'll bring:MS or (preferably) PhD in Computer Science, Machine Learning, Computer Vision, Applied Mathematics, or a related technical field, with 5-8 years of industry or research experience.Demonstrated expertise in deep learning for computer vision, including CNNs, vision transformers (ViTs), and diffusion-based generative models.Experience building and deploying image generation, manipulation, or understanding systems in production — such as visual search, personalized image recommendations.Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream.Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine vision and language for richer customer understanding and content personalization.About Walmart Global TechImagine 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’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of 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 the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart 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. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. 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:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much 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 unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. 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 . 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. Bentonville, Arkansas US-09050: The annual salary range for this position is $110,000.00 - $220,000.00 Sunnyvale, California US-11807: 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 : - StockMinimum qualifications["Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' 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", "Successful completion of one or more assessments in Python, Spark, Scala, or R", "Using open source frameworks (for example, scikit learn, tensorflow, torch)"]