• Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team • Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientist, and economists • Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc. • Define and monitor key metrics; investigate changes in metrics and propose next steps • Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems • Contribute to our team and company data culture through accessible data table design and maintenance • Collaborate with, mentor, and help recruit team members

Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. About the Data Science Team The Data Science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems -- everything from informing how we set prices across almost a thousand local services categories, to evaluating the impact of a new business model on company performance, to identifying early predictors of high-quality customers. We are a tight-knit, intellectually curious team that is committed to improving Thumbtack and improving each other. About the Role Data Scientists at Thumbtack are empowered early on to leverage their critical thinking, interpersonal, and technical skills to make a positive impact on the company. Data Scientists embed with product teams to support new product feature launches, study the economics of our massive and dynamic marketplace, and help inform strategy. Pros are the backbone of Thumbtack, and we're making a major bet on a fundamentally better experience for them. This role sits on the supply side of our Fulfillment pillar, focused on capturing richer inputs from pros and routing that signal into our matching, pricing, and demand fulfillment models — making the marketplace smarter and more valuable on both sides. The work is high-ambiguity by design: we're building something new, and the Data Scientist here will be central to how we define success, run experiments, and decide what to scale. What you'll do - Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team - Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientist, and economists - Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc. - Define and monitor key metrics; investigate changes in metrics and propose next steps - Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems - Contribute to our team and company data culture through accessible data table design and maintenance - Collaborate with, mentor, and help recruit team members In order to be successful, you must bring - 4+ years of experience in data science, analytics or economics - Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering and Marketing - Experience scoping, analyzing, and communicating results of experiments - Expert in SQL - Strong communication skills and ability to build strong relationships cross-functionally and with leadership - Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics Expected salary ranges - For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $150,500 - $194,700. 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. #LI-Remote 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: recruitingops@thumbtack.com. 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.

• Partner with leaders of Thumbtack's Partnerships and Commercial Programs teams to conduct in-depth quantitative analyses that guide strategic decisions • Measure partnership performance and health, building metrics and dashboards that track the success of integrations with third-party platforms • Design and implement A/B tests, market-based tests, and other experiments • Build and deploy AI-powered data products, tools, and workflows that enable faster, better decision-making • Champion AI adoption within the team—experimenting with different tools to streamline analyses, automate reporting, and uplevel team capabilities • Make recommendations based on detailed analysis and a deep understanding of our business and partnership ecosystem • Build and maintain reports, models, metrics, SQL queries, and dashboards (Looker/Tableau) which provide insight into business performance and outcomes • Identify key drivers of core business outcomes through regression analyses and other statistical techniques • Contribute to our team and company data culture through peer collaboration, training, coaching and sharing of AI best practices

Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. About the Data Science Team The Data Science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems -- everything from how we set prices across hundreds of local services categories to evaluating the impact of a new business model on company performance. This role specifically sits on the Operations Data Science team, which provides insights for Thumbtack's Partnerships, Business Development, Commercial Programs, Sales, Support Operations, and Trust and Safety teams. We are a tight-knit, intellectually curious team that is committed to improving Thumbtack and improving each other. About the Role As a Data Scientist II, you'll partner with product and operations leaders to shape the strategy for Thumbtack's Partnerships and Commercial Programs teams. You'll work directly with our Business Development team to enable the success of strategic partnerships through data and insights. This includes measuring and optimizing integrations with third-party platforms- from demand-side API and MCP integrations that help homeowners find service professionals, to supply-side FSM integrations that help service professionals find customers and manage their leads. You will also work flexibly across other Commercial Programs, such as Refund Operations or Category Management, depending on business priorities. A key part of this role is bringing AI capabilities to the team. You'll not only build AI-powered data products and tools, but also use AI to streamline workflows, accelerate analysis, and uplevel the team's capabilities. We're looking for someone who is excited to experiment with tools like Claude Code and similar technologies to transform how we work. You will measure and test the impact of new partnerships and ventures and proactively strategize on where the team should focus. You will be involved in building many new processes from 0 to 1. Data Scientists also collaborate with partners in Data Engineering, Marketing, Engineering, Finance, Internal Tools and Product teams on broader efforts. You will be expected to quickly build technical and content expertise about our platform and partnerships ecosystem. You will be involved in scoping, prioritization and execution of tasks related to new company initiatives and programs while also gathering, organizing and presenting insights, trends and predictions to partners and stakeholders. What you'll do - Partner with leaders of Thumbtack's Partnerships and Commercial Programs teams to conduct in-depth quantitative analyses that guide strategic decisions - Measure partnership performance and health, building metrics and dashboards that track the success of integrations with third-party platforms - Design and implement A/B tests, market-based tests, and other experiments - Build and deploy AI-powered data products, tools, and workflows that enable faster, better decision-making - Champion AI adoption within the team—experimenting with different tools to streamline analyses, automate reporting, and uplevel team capabilities - Make recommendations based on detailed analysis and a deep understanding of our business and partnership ecosystem - Build and maintain reports, models, metrics, SQL queries, and dashboards (Looker/Tableau) which provide insight into business performance and outcomes - Identify key drivers of core business outcomes through regression analyses and other statistical techniques - Contribute to our team and company data culture through peer collaboration, training, coaching and sharing of AI best practices In order to be successful, you must bring - BA/BS degree, preferably in Economics, Statistics, Math, or Computer Science - 3+ years in analytics, data science, or economics - Strong AI curiosity and hands-on experience using AI tools in data science workflows (e.g., Claude Code, Cursor, Copilot, or similar) - Flexibility and comfort working across diverse problem types—from partnership measurement to refund operations optimization - Strong written and verbal communication skills: this role will require writing content and explaining results to internal and external audiences - Strong experience using SQL to query large datasets, proficiency with data visualization software (e.g., Tableau, Looker), and familiarity with statistics/programming languages (e.g., R, Python) - Ability to detect and debug data anomalies in complex operational processes and a track record of working with business leaders to drive improvements and efficiencies - Demonstrated ability to self-motivate and drive projects independently as well as partner successfully with cross-functional teams Expected salary ranges - For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $131,800 - $170,500. 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. #LI-Remote 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: recruitingops@thumbtack.com. 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.