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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in causal inference, experimentation, and statistical modeling to drive business outcomes through data science and machine learning. Proficient in developing and operationalizing scalable production ML systems while mentoring and guiding teams in technical excellence.
Highest-signal resume keywords
Causal InferenceExperimentation FrameworksStatistical ModelingPython ProgrammingSQL Proficiency
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Define principles, frameworks, and best practices for using data, experimentation, and machine learning to improve customer, marketplace, and business outcomes
- Mentor and coach Data Scientists and contribute to career development and technical excellence
- Lead exploration of interconnected marketplace systems and feedback loops
- Develop causal inference and experimentation frameworks to understand business impact
- Partner with engineering on architecture decisions for shared data layers, feature pipelines, modeling APIs, experimentation infrastructure, and production ML services
- Define and implement experimentation strategies for changes that move business metrics in high-noise environments
- Champion business-impact-driven data science integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems
- Identify high-leverage opportunities across marketplace efficiency, customer experience, ETA accuracy, fulfillment reliability, pricing, supply planning, demand forecasting, and operational performance
- Prototype, experiment, influence architecture, and operationalize models and insights that move business metrics
Requirements
What you’ll need- 8+ years of industry experience with MS or 6+ years with PhD in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Machine Learning, or a related quantitative field
- Proven experience applying data science and machine learning to complex business problems
- Deep expertise in causal inference, experimentation, and statistical modeling, including A/B testing, difference-in-differences, regression discontinuity, instrumental variables, synthetic controls, uplift modeling, or causal impact analysis
- Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design
- Demonstrated ability to take data science, ML, or causal inference systems into production
- Fluency in SQL or similar tools for directly interrogating production-scale datasets
- Experience mentoring and providing technical direction to other scientists, analysts, or engineers
- Experience leading end-to-end design of data science, machine learning, measurement, or experimentation frameworks is a plus
- Experience designing causal measurement strategies for complex systems is a plus
- Background in causal inference, econometrics, Bayesian modeling, experimental design, or observational measurement is a plus
- Experience with applied experimentation frameworks is a plus
- Experience building or influencing production ML systems is a plus
- Influence across disciplines is a plus
- Experience defining strategy and technical roadmaps is a plus
- Must comply with employment eligibility verification through E-Verify
Benefits
Comp & perks- Equity
- 401(k)
- Choice of medical, dental, and vision plans
- Company paid short and long term disability coverage
- Paid time off including flexible time off for exempt employees
- Paid vacation for non-exempt employees
- Paid sick leave in compliance with applicable law
- Paid parental leave
- Discounted meals
- Exclusive perks across the Wonder family of brands
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Causal InferenceExperimentationStatistical ModelingA/B TestingRegression DiscontinuityInstrumental VariablesUplift ModelingData AnalysisProduction-Ready CodeMachine Learning
Soft Skills
MentoringTechnical DirectionInfluencing
Tools & Technologies
SQLPythonData VisualizationProduction ML Systems
Industry Keywords
Data ScienceMachine LearningEconometricsBayesian ModelingExperimental DesignObservational Measurement