We are hiring a Principal Data Scientist to lead the design and development of Walmart Connect's next-generation ads incrementality measurement platform. We are looking for a scientist with rare depth in causal inference, incrementality and RCT experimentation who thrives on doing the hard technical work, not just directing it. You will own the methodology end-to-end, partner with engineering and product to carry solutions into production, and serve as the team's go-to authority on the hardest measurement problems. You will help set the bar for what rigorous, causally grounded ads measurement looks like at Walmart Connect.
About the team:
The team builds advanced advertising measurement solutions via innovative data science, machine learning and experimentation techniques.
What you'll do:
- Design and implement large-scale causal inference methodologies to measure the true incremental lift of advertising across campaigns, channels, and segments
- Establish evaluation frameworks, exit criteria, and solution readiness standards causal inference methodologies, grounding approach in hypotheses and data validations
- Author high-quality technical design documents and whitepapers; present to senior leadership
- Define the science roadmap for incrementality and causal measurement; prioritize the highest-leverage problems and make principled trade-offs
- Develop event-grain incrementality models (Uplift DNN) to power ads bidding optimization decisions
- Partner with engineers to design data pipelines and schema that meet the precision requirements of causal measurement at scale
- Mentor senior and mid-level scientists
What you'll bring:
- PhD or Master's in Statistics, Economics, Econometrics, Computer Science, or a related quantitative field — PhD strongly preferred
- 5+ years in data science or quantitative research , ads industry experience preferred
- Deep, specialized expertise in causal inference and/or incrementality-based optimization — Randomized control trials, PIE model, instrumental variables, uplift DNN, regression discontinuity and related methods
- Strong command of experiment design at scale — power analysis, variance reduction, interference and spillover handling, and bias correction
- Proficiency in Python and SQL for large-scale data analysis and experience with distributed data platforms (Spark, BigQuery, or equivalent)
- Strong statistical foundations and machine learning knowledge
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-11658: 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 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 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, Publications or active peer reviewer in related journals or conference, 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...1275 Crossman Ave, Sunnyvale, CA 94089-1103, 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
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 3 years of analytics-related experience
- 7 years of experience in an analytics or related field
- 5+ years of experience in data science or quantitative research
- Deep expertise in causal inference and incrementality-based optimization, including randomized control trials, instrumental variables, uplift models, and regression discontinuity
- Strong command of experiment design at scale, including power analysis, variance reduction, interference and spillover handling, and bias correction
- Proficiency in Python and SQL for large-scale data analysis
- Experience with distributed data platforms such as Spark or BigQuery
- Strong statistical foundations and machine learning knowledge
- PhD in Statistics, Economics, Econometrics, Computer Science, or a related quantitative field
- Ads industry experience
- Experience with data science, machine learning, and optimization models
- Experience with Python, Spark, Scala, or R assessments
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch
- Publications or active peer-reviewer experience in related journals or conferences
- 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.






