Staff Data Scientist - Growth

Stack

Responsibilities

• ▹Own incrementality measurement across channels: design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible
• ▹Build a marketing measurement system leaders trust: define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI) and keep them consistent across Marketing, Finance, and Product
• ▹Turn ambiguity into a plan: diagnose why performance changed, quantify contributing drivers, and recommend concrete actions
• ▹Develop and evolve modeling approaches where they create leverage: LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling
• ▹Partner with Engineering on the measurement plumbing: event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring
• ▹Design learning loops that scale: repeatable experimentation and analysis templates for channel and creative testing
• ▹Influence strategy, not just reporting: bring an evidence-based point of view on channel allocation, growth constraints, and short- vs. long-term trade-offs
• ▹Uplevel the team: mentor analysts and data scientists, set quality standards for experimentation, causal inference, and forecasting

Requirements

• ▹10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments
• ▹Deep expertise in causal inference and incrementality in real-world marketing systems (selection bias, channel cannibalization, platform noise, attribution myths)
• ▹Strong SQL plus strong proficiency in Python or R, able to build reliable, reusable analytical workflows
• ▹Practical modeling skill applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring
• ▹Track record of influencing executive decisions with clear recommendations and measurable outcomes
• ▹Excellent communication that makes complex measurement logic understandable and defensible to non-technical partners
• ▹High ownership and strong judgment: moves quickly but knows when to slow down when the risk is real

Nice to have

• ▹Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization
• ▹Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, unit economics
• ▹Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging)
• ▹Experience partnering with Finance on budget allocation, payback, and scenario planning
• ▹Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems

Soft skills

What we offer

• ▹Base pay $212,000–$265,000, depending on position and level, plus equity grant eligibility
• ▹Medical, Dental, and Vision coverage
• ▹HSA/FSA
• ▹401K
• ▹Work-from-Home Stipend
• ▹Therapy Reimbursement
• ▹16-week parental leave
• ▹Carrot Fertility annual reimbursement and membership
• ▹13 paid holidays plus a Holiday Break
• ▹Flexible PTO
• ▹Employee Assistance Program (EAP)
• ▹Training and professional development

About the company

Headway is building a new mental healthcare system that everyone in the US can access. The company started by automating the biggest barrier to care — insurance admin work such as credentialing, claims, and payment reconciliation — and is now building the full platform on which more than 75,000 therapists run their practice, serving over 1 million patients nationwide. Headway is a Series D company that has raised $325M+ in funding, backed by investors including a16z, Accel, and Spark Capital.