Note: The job is a remote job and is open to candidates in USA. Thumbtack is a company that helps millions of people confidently care for their homes. As a data scientist on the experience led growth team, you will partner with various teams to build the analytical foundation for Thumbtack’s lifecycle strategy, focusing on engagement across the customer and pro journey.
Responsibilities
- Build the Lifecycle measurement framework — define lifecycle health metrics for both homeowner and pro, design experiments with appropriate rigor, and navigate attribution and contamination challenges in ambiguous measurement contexts
- Build relationships with cross-functional teams across pro and homeowner lifecycle. Understand strategic challenges and contextualize them to use data to unlock new growth levers and inform product roadmap
- Synthesize evidence across data sources to produce insights that shift senior leaders’ mental models — going beyond what happened to explain why and what to do next across the full pro and customer lifecycle; provide analytical rigor for the evolution toward intelligent, customer-centric decisioning and personalization
- Serve as the tech lead for the Lifecycle — influence senior cross-functional partners, drive pillar-level alignment through insights and partnership. Be opinionated about strategic decisions and trade-offs based on your deep domain knowledge
- Continue to evolve workflow automation and self-serve. Discovering new ideas, implementing POCs and coaching fellow DS team members
Skills
- 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
- 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
- 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
- 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
- Experience building data products — dashboards, self-service tools, or reusable analytical frameworks — that scale beyond your immediate team
- Strong business acumen and ability to connect data findings to lifecycle strategy, making crisp prioritization recommendations under uncertainty
Company Overview
Company H1B Sponsorship