About the role

Marketing Data Scientist II driving high-impact projects and leveraging analytics in a collaborative team environment at Thumbtack. Focusing on optimizing growth and enhancing the company's data culture.

Responsibilities

Own end-to-end analytics for growth marketing, partnering with Marketing, Finance, and external partners to understand user behavior, define target audiences, measure campaign performance, and forecast and allocate budgets
Translate ambiguous business questions into rigorous analyses and clear recommendations that improve individual campaign performance and optimize the overall marketing channel mix
Design, execute, and interpret experiments and quasi-experiments to enable causal inference and inform high-stakes marketing investment decisions
Partner closely with MarTech, Product Management, and Engineering to scope, build, and evaluate new capabilities—such as developing local market intelligence framework and improvements to customer LTV bidding systems—ensuring measurable performance gains
Develop deep domain expertise in growth marketing measurement, experimentation, customer segmentation, and targeting optimization, and apply that expertise to influence strategy and execution
Collaborate with cross-functional partners to build scalable analytical solutions, tools, and frameworks that unlock sustained growth
Raise the bar for Thumbtack’s data culture by designing, maintaining, and documenting high-quality, trusted data tables and metrics that enable self-serve decision-making across teams

Bachelor’s degree in statistics, mathematics, data science, economics, or a related quantitative field (advanced degree a plus)
3+ years of experience in marketing data science, strong understanding of digital marketing and experience with marketing measurement and performance optimization
Advanced SQL skills, proficiency in Python or R, and experience using Looker or similar BI tools to drive insights
Experience working with large and imperfect datasets at scale, and building and applying statistical and/or machine learning models to solve real-world business problems
A passion for problem-solving and critical thinking, with the ability to navigate ambiguity and turn data into clear, actionable insights
Strong business judgment and the ability to identify signal in noisy, imperfect data
Excellent communicator and compelling storyteller, with the ability to listen deeply, explain complex concepts clearly, and influence cross-functional partners.