About Thumbtack
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2008
Full-time
Posted 25 days ago
Job description
Job Summary:
Thumbtack helps millions of people confidently care for their homes. 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, enabling the success of strategic partnerships through data and insights.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Company:
Thumbtack is a home services website connecting users with local service providers. Founded in 2008, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Thumbtack helps millions of people confidently care for their homes. 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, enabling the success of strategic partnerships through data and insights.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Company:
Thumbtack is a home services website connecting users with local service providers. Founded in 2008, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
thumbtack.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a HRIS Data Architect and Data Warehouse Developer?
A: To succeed as a HRIS Data Architect and Data Warehouse Developer, key technical skills include proficiency in data modeling, data warehousing tools such as ETL (Extract, Transform, Load) software, and programming languages like SQL, Python, or Java. Additionally, strong analytical, problem-solving, and communication skills are essential, as well as the ability to collaborate with stakeholders and technical teams to design and implement data solutions. These strengths enable HRIS Data Architects and Data Warehouse Developers to effectively manage complex data systems, drive business insights, and support organizational growth.
Q: What is the career path for a HRIS Data Architect and Data Warehouse Developer?
A: A typical career progression for a HRIS Data Architect and Data Warehouse Developer involves starting as a Data Analyst or Business Intelligence Developer, then advancing to a Data Architect or Senior Data Analyst role, and eventually becoming a Lead Data Architect or Enterprise Data Architect. Key opportunities for skill development include learning data governance, cloud-based data platforms, and advanced data visualization tools, as well as developing expertise in data modeling, data warehousing, and business intelligence. Long-term career prospects may include transitioning into executive roles such as Chief Data Officer or Chief Information Officer, or pursuing specialized roles like Data Scientist or Business Intelligence Manager.
