Senior Data Scientist, Product (Marketplace)

Full-time - Mid Level

501-1,000 employees

About the position

Thumbtack is building the only app homeowners need to effortlessly manage their homes. We are a fast-growing company in a $600B+ industry, driven by a common goal of supporting local economies and helping small businesses grow. Our Data Science team empowers Thumbtack to use data to guide business decisions, collaborating with partners across the company to solve analytically challenging problems. Data Scientists at Thumbtack leverage their skills to make a positive impact, embedding with product teams to support new product feature launches and inform strategy.

Responsibilities

• Propose and conduct quantitative research into key user behaviors, product flows, and business trends; identify potential new opportunities for the product team.
• Design and analyze experiments and tests for causal inference in collaboration with engineers, applied scientists, and economists.
• Partner with product managers, designers, engineers, and researchers to drive product strategy, including defining new features and scenario modeling.
• Define and monitor key metrics; investigate changes in metrics and propose next steps.
• Develop topic area expertise, such as understanding how Thumbtack search works and interacts with other systems.
• Contribute to team and company data culture through accessible data table design and maintenance.
• Collaborate with, mentor, and help recruit team members.

Requirements

• 5+ 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, or Economics.

Nice-to-haves

• A well-balanced combination of big-picture thinking and exceptional problem-solving skills.
• Experience working on a 2-sided marketplace.
• Proficient in Python or R.

Benefits

• Virtual-first working model with in-person events.
• 20 company-wide holidays including a week-long end-of-year company shutdown.
• Library in San Francisco for collaboration and connection.
• WiFi reimbursements.
• Cell phone reimbursements (North America).
• Employee Assistance Program for mental health and well-being.