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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 strong proficiency in Python and SQL for large-scale data analysis. Capable of leading technical design efforts and mentoring teams while effectively communicating complex concepts 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 AnalysisExperiment DesignPower AnalysisVariance ReductionBias CorrectionRandomized Control TrialsUplift DNNRegression Discontinuity
Soft Skills
MentoringTechnical CommunicationProblem-Solving
Tools & Technologies
SparkBigQuery
Certifications & Qualifications
PhD Preferred
Industry Keywords
Ads Industry ExperienceAnalyticsQuantitative Research
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, for ads bidding optimization
- Partner with engineers on data pipelines and schemas meeting causal-measurement precision requirements at scale
- Mentor senior and mid-level scientists
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 one of 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
- Strong statistical foundations and machine learning knowledge
- Ads industry experience preferred
- PhD 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
- Walmart-paid education benefit program through Live Better U
- Tuition, books, and fees completely paid for eligible education programs
- Vacation, sick leave, and holiday time through PTO and/or PPTO
- Stock compensation for certain positions