Thumbtack

2 months ago

Applied Scientist, Pro Growth

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Applied Scientist on the Pro Growth team at Thumbtack, building models and experiments that shape pro acquisition, activation, retention, and supply health. You’ll deploy ML solutions for lead scoring, market-level forecasting, pro onboarding, and agentic onboarding workflows, collaborating with engineers, PMs, and marketing to drive marketplace growth and a high-quality pro supply.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Initiate and drive applied science projects to completion with a focus on business impact for pro acquisition, activation, retention, and supply health
•Develop, deploy, and optimize ML models for supply-side problems including lead scoring, market-level supply forecasting, pro onboarding/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 to identify trends, opportunities, and risks related to supply health
•Collaborate with engineering, product management, business development, and marketing to define problems and ensure successful implementation and monitoring of ML systems in production

Key Requirements

•Master's degree in a quantitative field 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
•Experience with large-scale distributed systems (Spark, Databricks, or similar) and proficiency in Python and SQL

Experience:3+ yearsMarketplaceGrowthAIML

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingAnalytical thinking

Languages:English

Tech Stack:PythonSQLSparkDatabricksLLMsOpenAIAnthropic ClaudeGeminiAWS Bedrock

Company Brief

Thumbtack

Provides an online marketplace connecting local service professionals (home improvement, events, lessons, and more) with customers seeking quotes, reviews, and booking tools to hire vetted contractors and providers.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn

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Thumbtack

2 months ago

Applied Scientist, Pro Growth

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Initiate and drive applied science projects to completion with a focus on business impact for pro acquisition, activation, retention, and supply health
•Develop, deploy, and optimize ML models for supply-side problems including lead scoring, market-level supply forecasting, pro onboarding/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 to identify trends, opportunities, and risks related to supply health
•Collaborate with engineering, product management, business development, and marketing to define problems and ensure successful implementation and monitoring of ML systems in production

Key Requirements

•Master's degree in a quantitative field 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
•Experience with large-scale distributed systems (Spark, Databricks, or similar) and proficiency in Python and SQL

Experience:3+ yearsMarketplaceGrowthAIML

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingAnalytical thinking

Languages:English

Tech Stack:PythonSQLSparkDatabricksLLMsOpenAIAnthropic ClaudeGeminiAWS Bedrock

Company Brief

Thumbtack

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn