Data Science Manager

4 weeks ago

Old Toronto, Ontario, Canada Thumbtack Full time
About the Data Science Team

At Thumbtack, our Data Science team plays a vital role in empowering our business decisions with data-driven insights. We collaborate closely with partners across the company to tackle complex analytical challenges, from optimizing pricing across hundreds of local services categories to evaluating the impact of new business models on company performance. Our team is committed to improving Thumbtack and each other through a culture of intellectual curiosity and collaboration.

About the Role

The Manager, Data Science will be a cross-functional leader responsible for building an effective product experience and matching effectiveness to ensure high-quality connections between Thumbtack customers and professionals. As a key member of our data science team, you will work collaboratively with peers across product management, engineering, design, applied science, and other functions. The ideal candidate will possess analytical rigor, influence senior stakeholders with data, clearly articulate and execute top priorities, and grow, motivate, and maximize the impact of a team of experienced product analysts.

Key Responsibilities
  • Influence Thumbtack's vision and execution in running an effective marketplace
  • Partner with leaders from product management, engineering, design, marketing, and go-to-market teams to execute on our product vision
  • Manage, mentor, and grow data scientists
  • Develop a data science roadmap, identify key questions that will unblock product development, and liaise with technical stakeholders on data and experimentation infrastructure
  • Coordinate with data science leaders in adjacent product teams to run a well-managed, productive, and motivated Thumbtack data science team
Requirements
  • 7+ years of experience in analytics, data science, or economics
  • 2+ years of experience managing analysts or data scientists
  • Experience analyzing customer lifetime value, identifying profitable customer segments, and prioritizing product/marketing opportunities to serve customers
  • Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering, and Marketing
  • Experience scoping, analyzing, and communicating results of experiments
  • Strong communication skills and ability to build strong relationships cross-functionally and with senior leadership
  • Bachelor's, Master's, or Doctoral degree in one of the following areas: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research
Bonus Points
  • A well-balanced combination of big-picture thinking, ability to thrive in ambiguity, exceptional problem-solving skills, and patience to teach others and uphold a high bar
  • Experience working on a 2-sided marketplace and related testing methodologies
  • Current or prior technical depth in data extraction, statistical analysis, modeling, and general familiarity with data languages and statistical tools (SQL, Python, R, Stata)

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