Lead the design and development of Walmart Connect’s ads incrementality measurement platform. Develop causal inference methodologies, randomized experimentation frameworks, uplift models, and large-scale measurement pipelines. Define scientific standards and roadmaps, author technical documentation, partner with engineering and product teams, present to leadership, and mentor data scientists. The role requires deep expertise in causal inference, experimentation, statistics, machine learning, and large-scale data analysis.
Position Summary...What you'll do...Role summary:
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:
What you'll bring:
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
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
ㅤ
ㅤ
ㅤ
ㅤ
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.Walmart Global Tech Sunnyvale, California, USA Office
840 W California Ave, Sunnyvale, CA, United States, 94086
Similar Jobs
Big Data • Cloud • Logistics • Machine Learning • Retail
Lead the design and development of Walmart Connect’s ads incrementality measurement platform. Develop causal inference methodologies, randomized experimentation frameworks, uplift deep neural network models, and large-scale measurement systems. Partner with engineering and product teams to productionize solutions, define the science roadmap, author technical documentation, present to leadership, and mentor data scientists. The role requires advanced expertise in causal inference, experimentation, statistical modeling, machine learning, Python, SQL, and distributed data platforms.
Top Skills:
BigQueryCausal InferenceInstrumental VariablesMachine LearningPower AnalysisPythonRRandomized Controlled TrialsRegression DiscontinuityScalaScikit-LearnSparkSQLTensorFlowTorchUplift Deep Neural Networks
Artificial Intelligence • Big Data • Cloud • Security • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Owns and accelerates Nasuni’s strategic partnership with SHI and one additional national partner. Responsibilities include joint business planning, executive alignment, partner relationship development, pipeline and revenue growth, field activation, co-marketing, enablement, forecasting, Salesforce reporting, and AI-enabled workflow improvement. The role requires influencing distributed teams without formal authority, managing national partner strategy, supporting major deals, and creating repeatable programs across commercial, enterprise, and strategic segments. Travel is approximately 30–50%, with remote work preferred near Austin or New Jersey.
Top Skills:
Ai-Enabled ToolsCloudCRMCybersecurityData InfrastructureSaaSSalesforceStorage
Machine Learning • Payments • Security • Software • Financial Services
Owns the vision, customer focus, and product backlog for a near-real-time data product. Prioritizes work based on business value, leads backlog grooming, communicates product direction, and partners with Scrum Masters and development teams to ensure delivery aligns with client requirements and business objectives.
Top Skills:
Agile DevelopmentData VisualizationScrumUx Design
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


