Senior Data Scientist, Product

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Thumbtack

๐Ÿ“Remote - Canada

Summary

Join Thumbtack's Data Science team as a Product Data Scientist and leverage your analytical skills to drive product development. Collaborate with cross-functional teams to conduct quantitative research, design experiments, and analyze user behavior. You will partner with product managers and engineers to prioritize and scope new features, define key metrics, and investigate metric changes. Develop expertise in how Pro customers use the platform and contribute to a data-driven culture. This role requires 4+ years of experience in data science, analytics, or economics, expertise in SQL, and strong communication skills. A Bachelor's, Master's, or Doctoral degree in a technical field is also required.

Requirements

  • 4+ years of experience in data science, analytics or economics
  • Experience scoping, analyzing, and communicating results of experiments
  • Expertise in SQL
  • Strong communication skills and ability to build strong relationships cross-functionally and with leadership
  • Bachelorโ€™s, Masterโ€™s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics

Responsibilities

  • Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team
  • Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientists, and economists
  • Partner with product managers, engineers, etc. to help prioritize and scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc
  • Define and monitor key metrics; investigate changes in metrics and propose next steps
  • Develop topic area expertise in how our Pro customers use Thumbtack
  • Contribute to our team and company data culture through accessible data table design and maintenance

Benefits

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