Senior Data Scientist, Lifecycle

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop the Lifecycle measurement framework by defining health metrics for both homeowners and professionals, designing experiments with appropriate rigor, and addressing attribution and contamination challenges in uncertain measurement contexts.

• Foster relationships with cross-functional teams throughout the pro and homeowner lifecycle. Grasp strategic challenges and contextualize them to leverage data for unlocking new growth opportunities and shaping the product roadmap.

• Integrate evidence from various data sources to generate insights that transform senior leaders’ mental models — going beyond simply reporting what occurred to elucidate why it happened and what actions to take next across the entire pro and customer lifecycle; provide analytical rigor to advance toward intelligent, customer-focused decision-making and personalization.

• Act as the technical lead for the Lifecycle — influence senior cross-functional partners, drive alignment at the pillar level through insights and collaboration. Offer strong opinions on strategic decisions and trade-offs, grounded in your extensive domain expertise.

• Continuously enhance workflow automation and self-service capabilities by exploring new ideas, executing proof of concepts, and mentoring fellow data science team members.

⛳️ Requirements

• Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, or another STEM discipline.

• Over 5 years of experience in a highly analytical role, demonstrating strong proficiency in SQL and Python for working with large, complex datasets.

• Established a reputation as a trusted advisor to senior leadership and diverse cross-functional teams, particularly in managing non-technical stakeholders by leveraging insights to build consensus and influence strategy across product, marketing, and engineering, effectively influencing without direct authority.

• Proven experience in independently leading long-term, ambiguous analytical projects with measurable business outcomes — not merely executing predefined analyses but also scoping and shaping the initiatives.

• Extensive expertise in experimental design, causal inference, and statistical methods — with the ability to navigate uncertainty in measurement contexts and clearly communicate uncertainty to non-technical stakeholders.

• Experience in developing data products — such as dashboards, self-service tools, or reusable analytical frameworks — that extend beyond your immediate team.

• Strong business acumen with the ability to link data insights to lifecycle strategy, providing clear prioritization recommendations amidst uncertainty.

🏝️ Benefits

• Thumbtack embraces diversity.

• We take pride in being an equal opportunity workplace and do not discriminate based on sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law.

• We will also consider qualified applicants with arrest and conviction records for employment, consistent with applicable law.

• Thumbtack is dedicated to collaborating with and providing reasonable accommodation to individuals with disabilities.