Applied Scientist, Pro Growth & Marketplace Activation

Thumbtack; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Thumbtack’s Applied Science team seeks an experienced scientist to own end-to-end ML projects in a fast-paced marketplace. You’ll build models for pro acquisition, activation, retention, and supply health, and work with engineers, PMs, and other scientists to deploy, measure, and iterate.

You will design experiments, analyze data, and contribute to agentic AI initiatives, with a focus on improving matching and marketplace efficiency across thousands of markets.

Qualifications

• Master’s degree or equivalent experience in a quantitative field.
• 3+ years of industry experience with ownership of production ML models.
• Experience in a marketplace, supply chain, or growth domain.
• Solid knowledge of ML techniques including classification, regression, embeddings, and causal inference.
• Familiarity with modern LLMs and agentic AI development practices.
• Strong probability, statistics, and econometrics knowledge with experimental design.
• Experience with large-scale distributed systems (Spark, Databricks).
• Ability to code in Python and SQL.
• Ability to break down complex problems and communicate clearly.

Responsibilities

• Initiate and drive applied science projects to completion with business impact on pro acquisition and supply health.
• Develop, deploy, and optimize ML models for supply-side problems (lead scoring, market forecasting, onboarding, retention).
• Design and run well-powered marketplace experiments to measure impact.
• Analyze structured and unstructured data to identify trends, opportunities, and risks.

Skills

Production ML models

Experiment design

Python

SQL

LLMs / AI tooling

Cross-functional collaboration

Education

Master’s degree in a quantitative field

Tools

Spark

Databricks

Job description

Thumbtack’s Applied Science team seeks an experienced scientist to own end-to-end ML projects in a fast-paced marketplace. You’ll build models for pro acquisition, activation, retention, and supply health, and work with engineers, PMs, and other scientists to deploy, measure, and iterate.

You will design experiments, analyze data, and contribute to agentic AI initiatives, with a focus on improving matching and marketplace efficiency across thousands of markets.