Staff Data Scientist (Product Analytics)

Join Headway as a Staff Data Scientist in Product Analytics. In this senior technical and strategic role, you will own complex product questions, shape success metrics, and drive cross-team decisions. You will establish a product measurement strategy, lead multi-team initiatives, set experimentation standards, develop evaluation systems, build scalable analytical assets, mentor other data scientists, and be a thought leader in the field. The ideal candidate will have deep expertise in Bayesian experimentation, causal inference, and measurement design, as well as strong proficiency in SQL and Python or R.

• Définir et posséder une stratégie de mesure des produits, en alignant les parties prenantes sur les définitions et en construisant une conviction sur ce à quoi ressemble "le bon".
• Diriger des initiatives multi-équipes, en conduisant le travail interfonctionnel là où la bonne réponse n'est pas évidente et le chemin n'est pas linéaire.
• Établir des normes d'expérimentation, en établissant des cadres pour la conception des tests, les garde-fous, les règles de décision et l'interprétation.
• Deep expertise in Bayesian experimentation, causal inference, and measurement design, including common failure modes and how to prevent them
• Expert fluency in SQL and strong proficiency in Python or R, including building reliable, reusable analysis workflows
• Motivation for our mission: improving access and affordability in mental healthcare
• Excellent executive communication and influence: you earn trust, align stakeholders, and move decisions forward
• A track record of leading ambiguous, cross-team work and delivering measurable outcomes (not just insights)
• 10+ years using data to drive product or business decisions in product, growth, engineering, or operations environments (or equivalent depth of experience and scope)
• Strong applied modeling judgment: you know when a model is the right tool, and you can build, validate, and launch responsibly
• Strong product sense and an instinct for decision leverage: you focus on what changes outcomes, not what is merely interesting