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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data-driven decision-making, particularly in product and business contexts, with strong capabilities in SQL, Python or R, and causal inference methods. Proven ability to communicate complex analyses to diverse stakeholders and contribute to improving mental healthcare access and affordability.
Highest-signal resume keywords
Strong SQLPython Or R ProficiencyCausal Inference MethodsPredictive ModelingA/B Testing Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisFeature EngineeringModel ValidationBacktestingSegmentation AnalysisLifecycle AnalysisCohort AnalysisRegression-Based DesignsFunnel AnalysisExperimental Design
Soft Skills
Self-Starter MindsetAbility To Explain Complex WorkPrioritization SkillsCollaborationMotivation For Improving Access
Tools & Technologies
AI ToolsLLMsCoding Assistants
Industry Keywords
Health AnalyticsProduct AnalyticsGrowth AnalyticsOperations AnalyticsMental Healthcare
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Act as the analytics partner within a cross-functional product pod
- Work with Product, Engineering, Design, Operations, and Clinical stakeholders to define questions, metrics, guardrails, and decision rules
- Design and analyze A/B tests and quasi-experiments with hypotheses, power considerations, and predefined success criteria
- Use funnel, cohort, segmentation, and lifecycle analysis to connect behavior to strategy
- Apply causal inference methods such as difference-in-differences, matching, and regression-based designs
- Develop predictive models, including feature development, validation, backtesting, calibration, launch criteria, and monitoring plans
- Produce clear analyses and narratives that acknowledge uncertainty and drive action
- Contribute to shared standards for metrics, experimentation, and analytical quality
- Support data science work across Patient, Payer & Outcomes, and Provider pillars, including ranking, matching, propensity, lifetime value, attribution, forecasting, churn, and incentive-response models
Requirements
What you’ll need- 6+ years using data to drive product or business decisions in product, growth, health, engineering, or operations environments
- Strong SQL
- Strong proficiency in Python or R for analysis and modeling
- Depth in experimentation and causal inference under real-world constraints
- Fluency with AI tools, including LLMs and coding assistants
- Practical modeling skill: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring
- Strong product sense and track record of connecting analytics recommendations to measurable outcomes
- Ability to explain complex work to non-technical audiences
- Self-starter mindset with ability to prioritize and follow through without heavy oversight
- Motivation for improving access and affordability in mental healthcare
- Authorization to work in the United States for any employer
- Must address visa sponsorship requirements for employment visa status
Benefits
Comp & perks- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year
- Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development
- Robust health and wellness benefits
- Retirement savings
- Meaningful ownership opportunities through equity