Applied Scientist, Pro Growth

The role

You will build models and experiments to manage pro acquisition, activation, and supply health. You will work on machine learning, causal inference, and optimization to grow the pro supply base.

What you will do

• Initiate and drive applied science projects to completion.
• Develop, deploy, and optimize machine learning models for supply-side problems.
• Design and execute marketplace experiments to measure model and product impact.
• Analyze structured and unstructured data to identify trends, opportunities, and risks.
• Collaborate with engineering, product management, business development, and marketing teams.
• Maintain balance between speed of execution and scientific rigor.
• Contribute to evolving agentic-first ways of working using LLM-powered tooling.

Required qualifications

• Master’s degree in a quantitative field (Computer Science, Machine Learning, Statistics, Operations Research, Economics, or related), or equivalent industry experience.
• 3+ years of industry experience as an applied scientist, data scientist, or ML engineer with ownership of production ML models.
• Experience in applied science within a marketplace, supply chain, or growth domain.
• Solid knowledge of machine learning techniques such as classification, regression, embedding-based approaches, and causal inference.
• Familiarity with modern LLMs (OpenAI, Anthropic Claude, Gemini, AWS Bedrock) and experience with agentic AI development practices and tools.
• Good knowledge of probability, statistics, and econometric methods, including experimental design, causal inference, and optimization.
• Experience with large-scale distributed systems (Spark, Databricks, or similar).
• Ability to effectively read, write, and debug code in programming languages such as Python and SQL.
• Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects.
• Ability to communicate clearly and effectively to cross-functional partners of various technical levels.
• Demonstrated ability to drive seamless execution end-to-end on at least one production ML project.

About the company

Thumbtack is an app used to take care of and improve homes through personalized guidance, AI tools, and a hiring experience. They help homeowners connect with a community of 300,000 local service businesses.