Staff Data Scientist (GTM)

Join Headway as a Staff Data Scientist for Commercial GTM. In this role, you will be the overall owner of data science for Headway's commercial business, reporting directly to the Chief Commercial Officer. You will lead proactive strategic analyses, serve as a technical anchor for other data scientists, and enable self-service analytics for the commercial team. The ideal candidate will have 10+ years of experience in data science or analytics roles, expertise in forecasting and causal inference, and a strong track record of influencing executive decisions.

• En tant que responsable de la science des données pour l'entreprise commerciale de Headway, vous serez le propriétaire global de la science des données pour l'entreprise commerciale de Headway.
• Vous passerez la majorité de votre temps à réaliser des analyses stratégiques proactives pour le directeur commercial et pour les comptes les plus importants de Headway.
• Vous serez le point de contact technique pour les autres scientifiques des données travaillant sur les accords commerciaux, en fournissant une révision technique solide, un mentorat et en élevant le niveau de rigueur.
• 10+ years of experience in data science or analytics roles
• Expertise in forecasting and causal inference, including common failure modes and how to design around them
• Proven success partnering cross-functionally with Commercial, Payer, Finance, Product, and Operations teams
• A track record of influencing executive decisions with clear recommendations and measurable outcomes
• Strong executive presence and stakeholder management skills, with a proven ability to earn trust and build a roadmap directly with senior and executive partners
• Experience adopting and championing AI-assisted tools to accelerate and automate data workflows
• Expert fluency in SQL and strong proficiency in Python or R, including building reliable, reusable analytical workflows; experience with data modeling, ideally using dbt
• Significant go-to-market experience and specialization is strongly preferred; strong candidates who meet our other criteria and are eager to build go-to-market expertise are also encouraged to apply