[Hiring] Applied Scientist, Pro Growth @Thumbtack

Role Description

We’re looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well.

At Thumbtack, the Applied Science team is responsible for a wide variety of problems spanning AI, machine learning, statistics, and computer science:

• Improve customer and service provider matching.
• Model complex relationships in the presence of many confounding factors.
• Characterize marketplace dynamics.
• Build AI features.
• Build a healthy marketplace.

The Pro Growth pod is responsible for the science behind acquiring and activating the right pros, at the right time, in the right markets, to keep the marketplace healthy and growing. As an Applied Scientist on Pro Growth, you’ll build models and experiments that shape who joins Thumbtack, how they get activated, how we forecast supply needs by market and trade, and how we accelerate time-to-value for new pros.

You’ll work shoulder-to-shoulder with engineers, product managers, and other applied scientists on a portfolio that ranges from incrementality and market forecasting to LLM-powered onboarding agents. You’ll own end-to-end: from problem framing, through experiment design, through deploying models to production, through measuring business impact.

What you’ll do:

• Initiate and drive applied science projects to completion, with a focus on the business impact of those projects on pro acquisition, activation, retention, and supply health.
• Develop, deploy, and optimize machine learning models for supply-side problems, including lead scoring and pro acquisition targeting, market-level supply forecasting, pro onboarding and activation, retention and churn prediction, and agentic onboarding workflows.
• Design and execute well-powered marketplace experiments to measure model and product impact on supply and business metrics.
• Analyze structured and unstructured data such as marketplace interactions, pro profiles, external supply signals, to identify trends, opportunities, and risks related to supply health.
• Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of ML systems in production.
• Maintain the right balance between speed of execution and scientific rigor when designing solutions for a fast-paced marketplace environment.
• Contribute to evolving the team’s agentic-first ways of working, including LLM-powered tooling, eval coverage, and the use of AI agents in day-to-day applied science.

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.
• Solid knowledge of machine learning techniques such as classification, regression, embedding-based approaches, and causal inference.
• Ability to effectively read, write, and debug code in programming languages such as Python and SQL.
• Good knowledge of probability and statistics, including experimental design, optimization, and causal inference.
• 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.

Requirements

• Expected salary ranges for candidates living in Ontario and British Columbia: $161,500 - $209,000.
• Actual offered salaries will vary based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

Benefits

• Thumbtack embraces diversity and is an equal opportunity workplace.
• We do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by law.
• We consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.
• Thumbtack is committed to providing reasonable accommodation to individuals with disabilities.