Data Scientist, Marketing

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 to 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.

• Drive the creation of frameworks, tools, and processes that make measurement more systematic and scalable across a variety of channels.
• Evolve and strengthen existing modeling approaches to deliver insights that are both robust and actionable.
• Iterate on measurement approaches to marketing problems like channel incrementality, bolstering a robust approach to maximizing return on ad spend.
• Collaborate with cross‑functional partners to connect measurement learnings with business strategy and growth.
• Serve as a technical leader—mentoring others, elevating analytical standards, and shaping the long‑term direction of measurement at Thumbtack.
• Identify and pursue new opportunities where advanced analytics or fresh methodologies can unlock impact.

• 4+ years of experience in data science, analytics or economics.
• Bachelor’s, Master’s, or Doctoral degree in a technical area such as Statistics, Engineering, Analytics, Math, Computer Science, Economics.
• Minimum of 0‑5 years of experience in industry, consulting, government or academic research. Applicants with considerably more experience, including mid‑career, are also strongly encouraged to apply.
• Proficiency with analytical tools like Python and SQL.
• Ability to work in a fast‑moving business environment.
• Strong communication skills and ability to build strong cross‑functional relationships and gain buy‑in on a data‑driven perspective.

• For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $223,100 – $288,800.
• For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $200,900 – $259,900.
• For candidates living in all other U.S. locations, the expected salary range for this role is currently $189,600 – $245,400.

Actual offered salaries will vary and will be based on…