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Data Scientist, Product

Thumbtack

Salary not specified
Sep 4, 2025
Remote, US
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Thumbtack aims to build a resilient, compliant, and seamless financial and safety ecosystem while driving growth through strategic external partnerships. The Data Science team is focused on using data to guide business decisions, improve user trust, and minimize risk.

Requirements

  • Proficiency using SQL to analyze large data sets
  • Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, etc.)
  • Ability to explain statistical concepts to non-technical audiences
  • Exemplary analytical problem solving skills
  • Strong business acumen and the ability to identify and synthesize insights from analysis

Responsibilities

  • Design and analyze experiments for product feature development and lifecycle engagement campaigns; collaborate with engineers on improving experimentation tooling
  • Conduct analysis into user behaviors, product flows, and business trends; based on the analysis, identify new opportunities and make recommendations on next steps to influence roadmap of the product team
  • Build dashboards and track metrics to guide the team’s initiatives and measure the team’s success; investigate changes in metrics and propose action plans
  • Collaborate with data engineers in building and improving data infrastructure
  • Develop domain knowledge of the team you are on, e.g., how does the payment system work at Thumbtack, details of the payment flow, what are common trust and safety issues and how do we address them
  • Contribute to our team and company data culture through peer collaboration, work and knowledge sharing, and interviews, etc.
  • Inform decision-making and influence product strategy and roadmap to empower the team to build the best product and experience for Thumbtack’s customers

Other

  • Bachelor’s or Master’s degree, preferably in Statistics, Math, Economics, Engineering, or other STEM fields
  • 1+ years of experience in a highly analytical role, preferably in tech analytics or data science
  • Strong communicator, attentive listener, and compelling storyteller
  • Impact-driven, self-driven, and strong ownership
  • Ability to collaborate with people with diverse backgrounds and build relationships