Thumbtack

10 months ago

Data Scientist, Product

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Collaborate with cross-functional product teams on trust safety and payments or partnerships to improve user experience and drive growth. Design and analyze experiments, study user behavior and business trends, and translate findings into recommendations for roadmap decisions. Build dashboards and investigate metric changes, partner with data engineers on data infrastructure, and deepen domain expertise in areas like payment flows and trust/safety risk mitigation.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Design and analyze experiments for product feature development and lifecycle engagement campaigns, partnering with engineers to improve experimentation tooling.
•Conduct analysis on user behaviors, product flows, and business trends to identify opportunities and recommend next steps to influence the product roadmap.
•Build dashboards, track metrics, investigate metric changes, and propose action plans to guide team initiatives and measure success.
•Collaborate with data engineers to build and improve data infrastructure supporting team analytics needs.
•Develop domain knowledge for the team (e.g., payment system and trust/safety issues) and contribute to a data culture through peer collaboration and knowledge sharing.

Key Requirements

•Bachelor’s or Master’s degree in Statistics, Math, Economics, Engineering, or another STEM field.
•1+ years of experience in a highly analytical role, preferably in tech analytics or data science.
•Proficiency using SQL to analyze large datasets.
•Understanding of statistical concepts with practical experience applying them (e.g., A/B testing and causal inference), including explaining them to non-technical audiences.
•Strong analytical problem-solving, business acumen, and ability to identify and synthesize insights from analysis.

Experience:1+ yearsTech analyticsData science

Education:

Skills:Analytical problem solvingBusiness acumenCommunicationCollaborationOwnership

Tech Stack:SQLA/B testingCausal inferenceDashboardsAPIsAmazon AlexaOpenAINextdoor

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

10 months ago

Data Scientist, Product

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Design and analyze experiments for product feature development and lifecycle engagement campaigns, partnering with engineers to improve experimentation tooling.
•Conduct analysis on user behaviors, product flows, and business trends to identify opportunities and recommend next steps to influence the product roadmap.
•Build dashboards, track metrics, investigate metric changes, and propose action plans to guide team initiatives and measure success.
•Collaborate with data engineers to build and improve data infrastructure supporting team analytics needs.
•Develop domain knowledge for the team (e.g., payment system and trust/safety issues) and contribute to a data culture through peer collaboration and knowledge sharing.

Key Requirements

•Bachelor’s or Master’s degree in Statistics, Math, Economics, Engineering, or another STEM field.
•1+ years of experience in a highly analytical role, preferably in tech analytics or data science.
•Proficiency using SQL to analyze large datasets.
•Understanding of statistical concepts with practical experience applying them (e.g., A/B testing and causal inference), including explaining them to non-technical audiences.
•Strong analytical problem-solving, business acumen, and ability to identify and synthesize insights from analysis.

Experience:1+ yearsTech analyticsData science

Education:

Skills:Analytical problem solvingBusiness acumenCommunicationCollaborationOwnership

Tech Stack:SQLA/B testingCausal inferenceDashboardsAPIsAmazon AlexaOpenAINextdoor

Company Brief

Thumbtack

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn