Senior Data Scientist (Lifecycle)

Join Thumbtack as a Senior Data Scientist on the experience-led growth team. In this high-ownership role, you will partner with a cross-functional team to build the analytical foundation for Thumbtack's full lifecycle strategy. You will shape how the company thinks about engagement across the entire customer and pro journey, and lead long-term initiatives with significant ambiguity. This position offers a virtual-first working model, generous benefits, and the opportunity to make a meaningful impact on small business owners.

• Collaborer avec une équipe interfonctionnelle pour établir une base analytique solide qui soutient la stratégie de cycle de vie de Thumbtack.
• Identifier les opportunités d'amélioration dans le cycle de vie des clients et des professionnels, et travailler avec l'ingénierie des données pour construire l'infrastructure de données nécessaire.
• Diriger des initiatives à long terme avec une ambiguïté significative, en exerçant un jugement indépendant et en influençant les partenaires interfonctionnels.
• Proven track record of independently leading long-term, ambiguous analytical initiatives with measurable business impact — not just executing defined analyses but scoping and shaping the work
• Strong business acumen and ability to connect data findings to lifecycle strategy, making crisp prioritization recommendations under uncertainty
• Experience building data products — dashboards, self-service tools, or reusable analytical frameworks — that scale beyond your immediate team
• Deep expertise in experimental design, causal inference, and statistical methods — with the ability to navigate ambiguity in measurement contexts and communicate uncertainty clearly to non-technical stakeholders
• Cultivated a reputation as a trusted advisor to senior leadership and diverse cross-functional teams esp. managing non-technical stakeholders, leveraging insights to build consensus and influence strategy across product, marketing, and engineering, successfully influencing without direct authority
• Bachelor’s or Master’s degree in Statistics, Math, Economics, Computer Science, or another STEM field
• 5+ years of experience in a highly analytical role, with strong proficiency in SQL and Python for working with large, complex datasets