thumbtack - Applied Scientist, Pro Growth
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Responsibilities
• 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. • IN ORDER TO BE SUCCESSFUL, YOU MUST BRING • 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.
Benefits
• For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $161,500 - $209,000 • 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. • Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and 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 federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. • Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: [email protected]. • If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. • We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. https://careers.thumbtack.com/recruiting-scams
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