Senior Data Scientist

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.

Core Data Science (Core DS) accelerates Thumbtack’s success through scalable, scientific decision-making. We drive impact across the business by building shared programs and tools that improve how teams measure outcomes and make decisions, and by leading rigorous analysis on cross-cutting, company-wide questions.

As a member of Core DS, you will lead high-impact work end-to-end, from identifying opportunities and structuring the approach, to executing rigorous analysis and communicating to stakeholders. You will collaborate closely with other data scientists and cross-functional partners, deliver insights that inform strategy and execution, and contribute to shared capabilities that strengthen data-driven decision-making across Thumbtack. As a senior contributor, you may also mentor others and help shape the team’s scientific culture through guidance and training.

• Identify, scope, and deliver high-impact projects end-to-end
  , leveraging the right resources and partners
• Proactively coordinate and collaborate with stakeholders to maximize the impact and adoption of your work
• Clearly communicate insights and business implications to audiences ranging from technical to executive, using the right level of complexity and narrative to influence decisions and roadmaps
• Develop frameworks and measurement approaches that make complex marketplace and product questions intuitive and actionable
• Apply rigorous analytical and causal inference methods (e.g., experimentation, quasi-experimental designs, forecasting/measurement) balancing rigor with practical constraints (time, complexity, marginal value)
• Own and improve shared decision-making programs and infrastructure
  , such as experimentation practices, market-based testing, and impact measurement
• Design, build, and maintain shared DS tooling and reusable assets (e.g., notebooks, libraries, training, standardized metrics, and key models that empower other teams)
• Mentor other scientists/analysts and lead trainings/courses to raise the bar for scientific decision-making across the company

• 3+ years of professional experience in economics, analytics, or data science (e.g. in tech, consulting, government, etc)
• Proficiency with empirical econometrics toolkit (experimentation; methods for causal inference such as IV; panel data methods; discrete models; etc)
• Proficiency with SQL
• Proficiency with R or Python, including strong data visualization skills
• Strong communication skills: able to communicate complex methods in intuitive and simple ways, easily able to adapt messaging to fit the audience, able to identify/highlight key information
• Ability to build strong relationships cross-functionally and with senior leadership
• Proficiency with data wrangling and organizing data for different models or analyses; and organized workflows and project management skills

• 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 $197,200 - $255,200.
• 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 $177,700 - $229,900.
• For candidates living in all other US locations, the expected salary range for this role is currently $167,500 - $216,700.

Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for…