Senior Data Scientist

About the Core Data Science team

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.

About the Role

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.

What you'll do

• 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

In order to be successful, you must bring

• 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

Expected salary ranges

• For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $168,300 - $217,800. 

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

Note: Thumbtack uses AI tools to support our resume screening process. However, our Recruiting team’s expertise and judgment guide hiring decisions.

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