[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Walmart jobs](https://jobs.opennash.com/companies/walmart/) · [Search jobs](/search/) Walmart · United States # R-2575331 United States $143,000.00 - $286,000.00 Listed on Walmart’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Walmart’s careers site →](https://careers.walmart.com/us/en/jobs/R-2575331) [OpenNash Jobs](https://jobs.opennash.com/) / [Walmart](https://jobs.opennash.com/companies/walmart/) / R-2575331 ## Job description As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires designing, implementing, and scaling high-throughput supervised fine-tuning (SFT) pipelines to train foundation models to follow user prompts, perform ranking tasks, and optimize training hyperparameters such as learning rate schedules and related configurations. You will collaborate across functions to identify and evaluate data sources, ensure data quality, and communicate findings through effective visualizations. Your contributions will drive innovation and operational excellence by applying rigorous statistical methods and scalable solutions that align with Walmart's strategic objectives and commitment to delivering customer value. About the Team Our team develops foundational models tailored for Walmart's e-commerce platform by leveraging large-scale user interactions to create rich representations of users, products, and search queries. These models power scalable search, advertising, recommendation, and personalization solutions. Team members apply expertise in data science, machine learning, and software engineering to optimize model performance, training, and deployment. With a strong focus on data quality, advanced analytics, and impactful visualization, the team delivers actionable insights that influence key business outcomes. Cross-functional collaboration drives innovation and enables continuous improvement in data-driven decision-making within a dynamic technology environment. ### What You'll Do Identify and evaluate data sources aligned with business requirements and quality standards. Design, implement, and scale high-throughput SFT pipelines to train foundation models for instruction following, ranking, and related tasks. Manage high-quality dataset mixtures and optimize training hyperparameters, including learning rate schedules and other training configurations. Drive model alignment toward helpfulness, accuracy, and safety through preference optimization techniques and reinforcement learning approaches. Create clear, insightful visualizations to effectively communicate findings and recommendations to stakeholders. Translate complex business challenges into data-driven solutions and actionable insights. Collaborate with cross-functional teams to deploy, monitor, and improve machine learning models in production environments. Mentor junior team members on analytical methodologies, coding best practices, machine learning techniques, and data storytelling. ### What You'll Bring Proven expertise in data science, including predictive analytics, machine learning algorithms, statistical modeling, and hypothesis testing. Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI. Hands-on experience designing, training, and deploying machine learning models, with a focus on transformer-based architectures and large language models. Experience optimizing large-scale training pipelines, including hyperparameter tuning and implementing high-throughput workflows using frameworks such as PyTorch. Experience applying reinforcement learning methods (e.g., RLHF) for preference optimization, model alignment, and safety-focused applications. Demonstrated ability to translate complex business requirements into analytical models and actionable business insights. Excellent verbal and written communication skills, with the ability to present technical findings effectively to both technical and non-technical stakeholders. 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 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 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Aug 21, 2026 - Last checked: Oct 18, 2026 - Listed for: 58 days - Location: United States - Pay: $143,000.00 - $286,000.00[Apply on Walmart’s careers site →](https://careers.walmart.com/us/en/jobs/R-2575331) ## More jobs at Walmart ### [(PRI) Personal Shopper Sam's Club PT](https://jobs.opennash.com/companies/walmart/jobs/c483611dba8899fcc347/) United States ### [(PRI) RX Tech Certified Sam's Club, Rx Tech](https://jobs.opennash.com/companies/walmart/jobs/94880113565588071a41/) United States ### [(USA).com Traffic Clerk](https://jobs.opennash.com/companies/walmart/jobs/da60b5223d308a943851/) United States ### [(USA) Area Manager](https://jobs.opennash.com/companies/walmart/jobs/25ce948f5cbc5e4bbdfa/) United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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