Senior, Data Scientist (Marketing Science)

Reference: R-2592740Posted: 2026-08-07Location: SUNNYVALE, CA, United StatesSalary: $117000 - $234000/yearType: Full time / De plantaCompany: WalmartBusiness Segment: Oficina en casaImmigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Sunnyvale, CA or Bentonville, AR; remote and hybrid options are not available. About the Role:Walmart is seeking a Senior, Data Scientist to leverage advanced statistical techniques and data science expertise to drive business insights and solutions. This role involves identifying and sourcing relevant data, developing and validating predictive models, and deploying scalable analytical solutions. The successful candidate will translate complex business requirements into actionable data strategies, collaborate across functions, and communicate findings effectively to influence design-making. A strong foundation in statistical methods, programming, and data engineering is essential to support Walmart's commitment to data-driven innovation and operational excellence.About the Team:Join the personalization marketing data science team at Walmart, collaborating with engineering, business, and product teams across digital marketing channels such as SEM, SEO, CRM, and Display as well as working on personalization domain. The team focuses on creating scalable, data driven solutions to optimize marketing effectiveness and drive high-quality demand at low cost. Members analyze extensive data from Walmart's omnichannel commerce to develop models and algorithms that support business growth. Working alongside skilled data scientists, engineers, marketers, and product managers, the team builds advanced marketing science platforms to enhance strategies and deliver impactful insights across the organization.What You'll Do:Utilize cutting-edge machine learning/statistical/optimization techniques to deliver solutions for projects in the domain of marketing science. Examples of projects include acquisition segmentation, churn prediction, channel optimization, etc.Design statistically sound experiments to properly evaluate the effectiveness and business value of proposed marketing strategies.Build, validate, test, and deploy predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.Collaborate with engineering teams to define interfaces to understand and resolve dependencies.Standardize and build scalable and highly available systems that follow operational best practices.What You'll Bring:5+ years of industry work experience in an analytical or quantitative role as a Data Scientist, MLE, or similar title, with a strong statistical background.Deep knowledge of A/B and multivariate testing methodology, including statistical foundations, best practices, and pitfalls.Must have ability to manipulate, analyze, interpret large data sources, and tell a story from data through analyses.Strong skills with SQL, Hive, Python, Tableau for data manipulation, statistical analysis, statistical modeling and data visualization. Experience with API design and construction using Python. Advanced degree in computer science, statistics, data science, mathematics or other discipline (e.g., economics, psychology) that exposes scientific methods of research and analysis.Preferred Experience and Qualifications:Marketing science and personalization experience strongly preferred.About Walmart Global Tech: Imagine 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 experts 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 connections rooted in deepening understanding and investing in the development of our associates. 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 welcoming 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. #LI-onsite 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. Sunnyvale, California US-11657: The annual salary range for this position is $117,000.00 - $234,000.00 Bentonville, Arkansas US-09158: The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum qualifications["Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics orrelated field."]Preferred qualifications["Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics", "Using open source frameworks (for example, scikit learn, tensorflow, torch)", "Successful completion of one or more assessments in Python, Spark, Scala, or R", "Data science, machine learning, optimization models"]