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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in causal inference methodologies and incrementality measurement, with proficiency in Python and SQL for large-scale data analysis. Capable of leading complex projects, mentoring teams, and presenting technical findings to senior leadership.
Highest-signal resume keywords
Causal Inference ExpertiseIncrementality-Based OptimizationPython ProficiencySQL ProficiencyExperiment Design at Scale
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Causal InferenceIncrementality MeasurementData AnalysisRandomized Control TrialsUplift DNNRegression DiscontinuityPower AnalysisVariance ReductionBias CorrectionMachine Learning
Soft Skills
MentoringPresentation SkillsProblem-Solving
Tools & Technologies
SparkBigQuery
Industry Keywords
Ads Industry ExperienceQuantitative ResearchAnalytics
Tech Stack
Tools & technologiesBigQueryPythonSparkSQL
About the role
Key responsibilities & impact- Lead the design and development of Walmart Connect's next-generation ads incrementality measurement platform
- Design and implement large-scale causal inference methodologies to measure true incremental advertising lift across campaigns, channels, and segments
- Establish evaluation frameworks, exit criteria, and solution readiness standards for causal inference methodologies
- Ground approaches in hypotheses and data validations
- Author technical design documents and whitepapers
- Present technical work to senior leadership
- Define the science roadmap for incrementality and causal measurement
- Prioritize high-leverage problems and make principled trade-offs
- Develop event-grain incrementality models, including Uplift DNN, to power ads bidding optimization decisions
- Partner with engineers on data pipelines and schemas meeting causal-measurement precision requirements at scale
- Mentor senior and mid-level scientists
- Serve as the team's go-to authority on complex measurement problems and carry solutions into production with engineering and product
Requirements
What you’ll need- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field; or Master's degree in these fields and 3 years' experience; or 7 years' experience in an analytics or related field
- 5+ years in data science or quantitative research
- Deep, specialized expertise in causal inference and/or incrementality-based optimization
- Experience with randomized control trials, PIE model, instrumental variables, uplift DNN, regression discontinuity and related methods
- 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, or equivalent
- Strong statistical foundations and machine learning knowledge
- Ads industry experience preferred
- PhD in a related quantitative field strongly preferred
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Live Better U Walmart-paid education benefit program
- Fully paid tuition, books, and fees for eligible education programs
- English Language Learning and short-form certificate programs
- Stock compensation may be included for certain positions