Senior Data Scientist

Summary

Join Thumbtack's Business Analytics team as a Data Scientist and work directly with leadership to analyze business performance and inform strategic decisions. You will define and track key metrics, build data dashboards and insights tools, conduct in-depth analyses, support revenue forecasting, and collaborate with cross-functional teams. This role requires 2+ years of professional experience, advanced SQL skills, data visualization experience, and strong analytical and communication abilities. Thumbtack offers a virtual-first work model, generous paid time off, and various other benefits. The ideal candidate will also possess experience with programming languages like R or Python, familiarity with marketplace dynamics, and forecasting experience. This is an opportunity to make a significant impact on a fast-growing company.

Requirements

• 2+ years of professional experience
• Advanced command of SQL
• Experience with data visualization tools
• Ability to develop compelling written narratives to explain analyses and make recommendations
• Exemplary analytical problem solving skills and business judgment; ability to ask the right questions, identify missing information and synthesize insights from data
• Effective collaboration with cross-functional partners (product marketing, finance, etc.) to think through product strategy and execution questions

Responsibilities

• Define, measure, and track the key metrics that measure Thumbtack’s success
• Design and build key company data tables, dashboards, and insights tools that power decisions across the company, and evolve them as our product and business change
• Conduct in-depth analyses to answer key questions that are critical to Thumbtack’s strategy
• Support and improve company revenue forecasting model, and forecasting/planning process
• Partner effectively with teams across the company, including Product, Engineering, Marketing, Operations, Finance, as well as Thumbtack’s leadership team
• Contribute to our team and company data culture through peer collaboration, training, coaching, and more

Preferred Qualifications

• Ability to utilize programming languages (R, Python etc…) in the context of data analysis
• Familiarity with marketplace dynamics and challenges
• Forecasting experience

Benefits

• Virtual-first working model coupled with in-person events
• 20 company-wide holidays including a week-long end-of-year company shutdown
• Library (optional use collaboration & connection hub) in San Francisco
• WiFi reimbursements
• Cell phone reimbursements (North America)
• Employee Assistance Program for mental health and well-being