Walmart is seeking a Staff Data Scientist to lead advanced measurement and analytics solutions that address complex marketing and business challenges at scale. This role will focus on Media Mix Modeling (MMM), experimentation, causal inference, and broader marketing analytics to measure marketing effectiveness and inform strategic investment decisions.
The ideal candidate combines deep statistical and technical expertise with strong business acumen—someone who can develop rigorous analytical solutions, translate complex findings into actionable recommendations, and influence decisions across Marketing and the broader organization.
About the team:
Our team sits within Marketing Analytics and develops rigorous, actionable measurement solutions to help Walmart understand and optimize the impact of marketing investments. Our work spans three core areas: Media Mix Modeling, including measurement of High Value Habits; experimentation and causal inference, including geo-, store-, and customer-level measurement; and broader marketing analytics connecting media activity, customer behavior, and business outcomes.
The team is the combination of advanced data science, experimentation, and real-world business impact at Walmart scale. We partner closely with Marketing, Finance and other analytics teams to turn complex measurement challenges into insights that shape marketing strategy and investment decisions.What you'll do...
- Lead the development and advancement of MMM and marketing measurement methodologies, including model development, validation, automation, and interpretation.
- Design and analyze experiments and causal inference studies, including geo-, store-, and customer-level tests, to quantify incremental marketing impact.
- Build frameworks that connect experimental evidence with observational and MMM measurement, improving confidence in marketing effectiveness and investment decisions.
- Apply advanced statistical and causal methods to complex business questions involving customer behavior, media performance, and marketing incrementality.
- Translate technical findings into clear business insights and strategic recommendations for senior stakeholders.
- Partner cross-functionally to identify high-impact measurement opportunities, define analytical roadmaps, and develop scalable solutions.
What you'll bring...
- Advanced degree in Statistics, Economics, Data Science, or a related quantitative field, or equivalent experience.
- Deep expertise in statistical modeling and causal inference with hand-on experience in experiment design and measurement.
- Hands-on experience developing Media Mix Models, with an understanding of model validation, response curves, incrementality, and attribution.
- Strong programming skills in Python and SQL with vibe coding, with the ability to independently develop and evaluate analytical solutions.
- Strong communication and storytelling skills, particularly the ability to explain sophisticated methodologies and findings to non-technical and senior audiences.
- Demonstrated ability to lead through influence, collaborate across functions, and provide technical direction on complex analytical initiatives.
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.
San Bruno, California US-08848: The annual salary range for this position is $143,000.00 - $286,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum 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.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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), 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.Primary Location...850 Cherry Ave, San Bruno, CA 94066-3031, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 5 years of analytics-related experience; or equivalent qualifying option
- Master’s degree in a related quantitative field plus 3 years of analytics-related experience; or equivalent qualifying option
- 7 years of experience in an analytics or related field as an alternative qualification
- Deep expertise in statistical modeling and causal inference
- Hands-on experience with experiment design and measurement
- Hands-on experience developing Media Mix Models, including validation, response curves, incrementality, and attribution
- Strong programming skills in Python and SQL
- Strong communication and storytelling skills for technical and senior audiences
- Ability to lead through influence, collaborate cross-functionally, and provide technical direction
- Experience in data science, machine learning, or optimization models
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Successful completion of assessments in Python, Spark, Scala, or R
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility practices
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.







