Thumbtack helps millions of people confidently care for their homes. 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.
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.
At Thumbtack, Data Scientists are trusted to combine rigorous thinking, technical expertise, and business context to accelerate smarter decisions and better products. Our Marketing Data Science team powers a data-driven growth engine—blending advanced analytics, innovative technology, and creative problem-solving to bring users to Thumbtack and keep them engaged.
As a Staff Marketing Data Scientist, you will serve as one of the most senior members of the team, setting the bar for technical innovation and strategic impact. Your mission will be to advance our channel measurement capabilities and design scalable methodologies, frameworks, and tools that empower the Marketing and Data Science teams to operate with speed, rigor, and confidence.
Lead the development and advancement of measurement methodologies that push the boundaries of what's possible in evaluating marketing effectiveness. You'll explore innovative approaches grounded in data science and modern analytical methods.
Key Responsibilities