(USA) Staff, Data Scientist

Reference: R-2479482Posted: 2026-04-20Location: HOBOKEN, NJ, United States; SUNNYVALE, CASalary: $132000 - $264000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficeRole summary:Walmart is seeking a Staff Data Scientist to leverage advanced analytics and machine learning techniques to solve complex business challenges. This role involves identifying and sourcing relevant data, developing predictive models, and delivering actionable insights that drive strategic decisions. The successful candidate will collaborate across functions to translate business needs into data-driven solutions, ensuring model accuracy and scalability. Expertise in data visualization and communication is essential to effectively present findings to stakeholders. This position supports Walmart’s commitment to innovation and operational excellence through data science.About the team:The Sandman/Ad-tech team comprises skilled Machine Learning Engineers, Data Scientists, and Full Stack technologists dedicated to delivering scalable, data-driven solutions for Walmart. This multidisciplinary group combines AI, software engineering, and data science to develop autonomous AI agents, deploy reliable applications, and build core engineering capabilities at enterprise scale. By leveraging data, AI, and agile methodologies, the team drives innovation that enhances operational efficiency and supports Walmart’s mission. Collaboration within the team fosters the creation of intelligent systems that improve business performance across the organization.What you'll do: Identify and source relevant data from multiple business domains and databases to support analytics initiatives. Perform data quality assessments and ensure data suitability for modeling and analysis. Develop, validate, and tune predictive models using advanced statistical and machine learning techniques. Create clear and impactful data visualizations to communicate insights to stakeholders. Translate complex business problems into data-driven solutions aligned with strategic objectives. Collaborate with cross-functional teams to deploy models and monitor performance in production environments. Mentor junior team members on analytical methods and best practices. What you'll bring: Proven expertise in predictive analytics, machine learning algorithms, and data science methodologies. Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards, governance, and scalable data storage solutions. Experience with model assessment, validation techniques, and deployment in production environments. Ability to translate complex business requirements into analytical models and actionable insights. Knowledge of database technologies including SQL and NoSQL systems. Demonstrated capability to communicate technical findings effectively to business 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 . 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. Hoboken, New Jersey US-10279: The annual salary range for this position is $132,000.00 - $264,000.00 Sunnyvale, California US-11789: 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["PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics", "We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.", "Successful completion of one or more assessments in Python, Spark, Scala, or R", "Data science, machine learning, optimization models", "Using open source frameworks (for example, scikit learn, tensorflow, torch)"]