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 Scientist embed with product teams to support new product feature launches, study the economics of our massive and dynamic marketplace, and help inform strategy. As a Data Scientist, you’ll be the person responsible for all the analytical needs of an entire team of engineers, designers, and product/marketing managers -- helping empower the team and Thumbtack more broadly to build the best product, as quickly as possible.
What you’ll need
Bonus points if you have
Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines. Learn more about our virtual-first working model here.
For candidates living in San Francisco / Bay Area, New York City, or Seattle metros, the expected salary range for the role is currently $114,750 - $148,500. 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.
For candidates living in all other US locations, the expected salary range for this role is currently $97,537.50 - $126,225. 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.
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