Senior Data Scientist, Product

undefined ago • 4 Years + • Data Analysis

Job Summary

Job Description

Data Scientists at Thumbtack are empowered to leverage critical thinking, interpersonal, and technical skills to positively impact the company. They embed with product teams to support new feature launches, study marketplace economics, and inform strategy. As a Data Scientist, you will be responsible for the analytical needs of an entire team of engineers, designers, and product/marketing managers, helping to build the best product as quickly as possible.
Must have:
  • Propose and conduct quantitative research into key user behaviors, product flows, and business trends.
  • Identify potential new opportunities and next steps for the product team based on analysis.
  • Design and analyze experiments and other tests for causal inference.
  • Partner with product managers, engineers, etc. to help scope new features.
  • Define and monitor key metrics; investigate changes and propose next steps.
  • Develop topic area expertise, e.g., understanding Thumbtack search.
  • Contribute to data culture through accessible data table design and maintenance.
  • Collaborate with, mentor, and help recruit team members.

Job Details

Thumbtack helps millions of people confidently care for their homes.

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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 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.

About the Data Science Team

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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 that is committed to improving Thumbtack and improving each other.

About the Role

------------------

Data Scientists at Thumbtack are empowered early on to leverage their critical thinking, interpersonal, and technical skills to make a positive impact on the company. Data Scientist embed with product teams to support new product feature launches, study the economics of our massive and dynamic marketplace, and help inform strategy. As a Data Scientist, you’ll be the person responsible for all the analytical needs of an entire team of engineers, designers, and product/marketing managers -- helping empower the team and Thumbtack more broadly to build the best product, as quickly as possible.

What you'll do

-------------------

  • 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 scientist, and economists
  • Partner with product managers, engineers, etc. to help 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, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems
  • Contribute to our team and company data culture through accessible data table design and maintenance
  • Collaborate with, mentor, and help recruit team members

In order to be successful, you must bring

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  • 4+ years of experience in data science, analytics or economics
  • Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering and Marketing
  • Experience scoping, analyzing, and communicating results of experiments
  • Expert in SQL
  • Strong communication skills and ability to build strong relationships cross-functionally and with leadership
  • Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics

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