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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, with a strong ability to mentor teams and lead the design of data science and machine learning frameworks. Proficient in Python and SQL, capable of operationalizing models that drive business impact through data-driven strategies.
Highest-signal resume keywords
Causal InferenceExperimentation FrameworksStatistical ModelingPython ProgrammingData Science Mentorship
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Define principles, frameworks, and best practices for how Wonder uses data, experimentation, and machine learning
- Mentor and coach a growing team of Data Scientists
- Contribute to career development and technical excellence across the group
- 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
- 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 improve 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
- Strong intuition for business and product trade-offs
- 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
- Experience designing causal measurement strategies for complex systems
- Background in causal inference, econometrics, Bayesian modeling, experimental design, or observational measurement
- Experience with applied experimentation frameworks, including A/B testing, power analysis, heterogeneous treatment effects, guardrail metrics, interference effects, and long-term impact measurement
- Experience building or influencing production ML systems
- Ability to align product, engineering, operations, business, and data science around a cohesive strategy
- Experience defining strategy and technical roadmaps for data science, machine learning, experimentation, or causal inference platforms
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 InferenceStatistical ModelingMachine LearningData AnalysisExperimentationA/B TestingPower AnalysisBayesian ModelingSQLProduction-Ready Code
Soft Skills
MentoringTechnical DirectionBusiness IntuitionCollaborationStrategic Alignment
Tools & Technologies
Data Visualization ToolsProduction ML SystemsFeature PipelinesModeling APIsExperimentation Infrastructure
Industry Keywords
Data ScienceMachine LearningEconometricsExperimental DesignOperational PerformanceMarketplace EfficiencyDemand ForecastingFulfillment ReliabilityPricing StrategyCustomer Experience