Sr. Data Scientist, Business Analytics

Thumbtack · Remote · Remote, United States ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • SQL and Python/R
  • Revenue modeling focus
  • US-based remote
  • Marketplace analytics

Join the Business Analytics team at Thumbtack, where you will unlock strategic opportunities and measure progress against company goals. You will own key metrics and dashboards, conducting deep-dive analyses that inform strategy and help tell Thumbtack’s story to investors and the Board.

As a Senior Data Scientist, you will focus on conversion and monetization within the marketplace. You will partner with cross-functional teams including Product, Engineering, and Finance to translate analytical insights into concrete actions and support revenue forecasting models.

What you'll do

  • Define, monitor, and report on key success metrics for the platform
  • Lead performance analysis to identify emerging risks and opportunities
  • Conduct deep-dive analyses to answer critical strategic questions
  • Support and improve revenue forecasting models and planning processes
  • Build and maintain dashboards and self-serve tools for internal teams
  • Partner with leadership and cross-functional teams to drive decisions
  • Strengthen data culture through collaboration, review, and coaching

What you'll need

  • 6+ years of experience in a highly analytical role, preferably in tech
  • Proficiency in SQL and Python or R for analyzing large data sets
  • Strong foundation in statistics and exemplary analytical problem solving
  • Experience partnering with executives to understand business needs
  • Strong communication skills for technical and non-technical audiences
  • Experience using AI to automate workflows and enable self-serve analytics
  • Background in revenue modeling and forecasting in high-growth environments

Nice to have

  • Experience in a marketplace or two-sided platform business
  • Background in a public company environment

Stack

  • SQL
  • Python
  • R
  • AI tools

How you'll work

  • Remote within the United States
  • Location-based salary bands apply