Senior Data Scientist, Lifecycle

Thumbtack helps millions of people confidently care for their homes.

Thumbtack is the one app you need to take care of and improve your home from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S. people turn to Thumbtack to complete urgent repairs seasonal maintenance and bigger improvements. We help homeowners know which projects to do when to do them and who to hire from our growing community of 300000 local service businesses. If making an impact inspires you join us. Imagine what well build together.

About the Data Science Team

The Data Science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems everything from informing how we set prices across almost a thousand local services categories to evaluating the impact of a new business model on company performance to identifying early predictors of high-quality customers. We are a tight-knit intellectually curious team committed to improving Thumbtack and improving each other.

About the role

As a data scientist on the experience led growth team you will partner with a world-class cross-functional team lifecycle marketers product managers engineers and applied scientists to build the analytical foundation that powers Thumbtacks full lifecycle strategy for both homeowners and pros. This is a high-ownership role at the intersection of measurement product analytics and applied science where you will shape how Thumbtack thinks about engagement across the entire customer and pro journey.

You will be embedded in the Lifecycle Center of Excellence (COE) which is expanding its mandate from homeowner lifecycle to include pro lifecycle. The teams priorities span personalized contextual communications in-app lifecycle experiences and the foundational data infrastructure and tooling needed to deliver these at scale including end-to-end funnel reporting self-serve analytics tooling and measurement frameworks that cover the full lifecycle.

You will use your technical leadership to identify opportunities across both homeowner and pro lifecycle develop a unified view of engagement on the Thumbtack platform and partner with data engineering to build the data infrastructure that enables the team to move faster. You will be leading long-term initiatives with significant ambiguity exercising independent judgment and influencing senior cross-functional partners with the implications of your work.

What youll do

• 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.

In order to be successful you must bring

• Bachelors or Masters 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.

Expected salary ranges

• For candidates living in Ontario and British Columbia the expected salary range for the role is currently $160700.00 - $207900.00.

Actual offered salaries will vary and will be based on various factors such as calibrated job level qualifications skills competencies and proficiency for the role.

Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of 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 also will consider for employment qualified applicants with arrest and conviction records consistent with applicable law.

Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process please contact: .

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Required Experience:

Senior IC

Employment Type : Full-Time
Department / Functional Area: Data Science
Experience: years
Vacancy: 1
Monthly Salary Salary: 160700 - 207900