Walmart Connect is seeking a Staff Data Scientist, Measurement Excellence to help strengthen the quality, consistency, and business impact of our advanced measurement capabilities. This role will partner across Measurement, Advanced Analytics, Data Science, Product, Engineering, Product Marketing, and business teams to support complex measurement initiatives, contribute to shared standards and best practices, and evaluate the application of emerging methodologies. The ideal candidate brings strong analytical judgment and measurement expertise, with the ability to connect technical and business perspectives, provide thoughtful guidance, and collaborate with cross-functional measurement teams to translate complex analytical challenges into practical business solutions.
About the team:
The Media Insights team delivers actionable insights to optimize investments with Walmart Connect. By analyzing media performance, the team supports agencies, technology partners, and advertisers in enhancing strategies and driving growth. Utilizing advanced data analysis, statistical methods, and predictive modeling, the team transforms complex data into clear, market-facing insights. Collaborating across functions, they ensure data quality and effective model deployment to support business decisions. This team plays a vital role in enabling data-driven strategies that maximize value and impact for Walmart’s advertising partners.
What you'll do:
- Partner on high-priority measurement and methodology initiatives, bringing a focus on analytical rigor, consistency, scalability, interpretability, and appropriate use.
- Collaborate with subject matter experts to evaluate measurement approaches and provide structured, evidence-based recommendations on their application.
- Help identify methodological risks, limitations, inconsistencies, and opportunities to strengthen existing approaches.
- Develop and refine practical frameworks and decision criteria in partnership with relevant teams to help teams consistently evaluate and apply measurement methodologies.
- Serve as a trusted resource for complex measurement questions, partnering with relevant subject matter experts to develop recommendations and resolve issues.
What you'll bring:
- Significant experience in measurement, data science, advanced analytics, econometrics, quantitative strategy, or a related field.
- Experience with multiple measurement approaches such as causal inference, experimentation, incrementality, attribution, media mix modeling, or related techniques.
- Demonstrated ability to understand the assumptions, strengths, limitations, and appropriate applications of analytical methodologies.
- Strong proficiency in programming languages such as Python and SQL for data analysis and model development.
- Expertise in managing complex ambiguous projects end-to-end, including risk management and change management.
- Ability to collaborate effectively with cross-functional teams and senior leadership to deliver actionable insights.
- Excellent communication skills to influence and guide stakeholders through analytical findings and recommendations.
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
Hoboken, New Jersey US-10279: 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 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 fieldPreferred 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 and 4 years of experience in an analytics-related field
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 2 years of experience in an analytics-related field
- 6 years of experience in an analytics or related field
- Experience in measurement, data science, advanced analytics, econometrics, quantitative strategy, or a related field
- Experience with measurement approaches such as causal inference, experimentation, incrementality, attribution, or media mix modeling
- Strong proficiency in Python and SQL for data analysis and model development
- Ability to manage complex ambiguous projects end-to-end, including risk management and change management
- Ability to collaborate with cross-functional teams and senior leadership
- Excellent communication skills for influencing stakeholders through analytical findings and recommendations
- Experience with 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 best 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.







