Staff Data Scientist (Growth)

Join Headway as a Staff Data Scientist, Growth, where you will be the senior analytical and strategic leader driving marketing performance. You will partner closely with Growth Marketing leadership and channel owners, Finance, Product, and Engineering to answer critical questions about incremental growth, investment strategies, performance drivers, and scaling successful initiatives. Your role will involve building frameworks, analyses, and modeling approaches to enable the marketing team to move faster with confidence. You will also own incrementality measurement across channels, build a trusted marketing measurement system, diagnose performance changes, develop and evolve modeling approaches, partner with Engineering on measurement plumbing, design scalable learning loops, influence strategy, and mentor analysts and data scientists.

• Concevoir et analyser des tests géographiques, des tests de contrôle, des tests d'impact et des approches quasi-expérimentales lorsque des tests randomisés ne sont pas réalisables.
• Développer et faire évoluer des approches de modélisation où elles créent un effet de levier. Construire des modèles pratiques tels que la prévision de la valeur à vie (LTV) et la prévision de la rétention.
• Collaborer avec l'ingénierie sur la plomberie de mesure. Améliorer l'instrumentation des événements, les hypothèses de résolution d'identité, l'intégration des conversions hors ligne et la surveillance de la qualité des données.
• Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum
• High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real
• Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring
• Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows
• You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here
• Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them
• 10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact)
• Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis
• Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization
• Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and 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