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Senior Data Scientist (Lifecycle)

Thumbtack

full-remoteseniorpermanentdata Full remote 70 days ago via WTTJ

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Tags

Data ScienceLifecycle AnalyticsCausal InferenceExperimental DesignSQLPythonData ProductsLifecycle MetricsStakeholder ManagementAmbiguous Problem Solving

About the role

Role Overview

Join Thumbtack as a Senior Data Scientist (Lifecycle) on the Lifecycle team. You’ll shape Thumbtack’s full lifecycle strategy for homeowners and professionals, partnering with cross-functional teams and leading long-term, high-ambiguity initiatives.

Key Missions

  • Build the data infrastructure that enables faster iteration for the Lifecycle team.
  • Develop a lifecycle measurement framework and define lifecycle health metrics for both owners and professionals.
  • Collaborate with cross-functional teams to understand strategic challenges and contextualize insights.

Responsibilities

  • Lead long-term analytical initiatives end-to-end: scope, shape, and deliver measurable business impact.
  • Create scalable data products such as dashboards, self-service tools, or reusable analytical frameworks.
  • Serve as a trusted advisor to senior leadership; influence strategy across product, marketing, and engineering.

Requirements

  • 5+ years in a highly analytical role.
  • Strong proficiency in SQL and Python working with large, complex datasets.
  • Bachelor’s or Master’s degree in Statistics, Math, Economics, Computer Science, or a related STEM field.
  • Deep expertise in experimental design, causal inference, and statistical methods.
  • Ability to navigate ambiguity in measurement and communicate uncertainty clearly to non-technical stakeholders.
  • Experience leading ambiguous initiatives with measurable business impact.
  • Proven record building data products that scale beyond a single team.

Nice to Have

  • Track record of managing non-technical stakeholders and building consensus without direct authority.

About Thumbtack

Thumbtack helps small business owners and makes entrepreneurship more accessible. The company relies on data-driven product and growth initiatives to improve outcomes for both homeowners and professionals.

Scraped 7/15/2026