Thumbtack is a local services marketplace that connects customers with the right professionals for anything they need done. Every day we rally around the impact Thumbtack has on people’s lives — helping brides plan their perfect wedding, families improve their homes, and small businesses grow and thrive. Thumbtack today has 1,100+ types of services, millions of customer requests, and hundreds of thousands of paying professionals. Join our growing team in the quest to build THE destination for anything you need done..
We're looking for data scientists with deep expertise in statistics, machine learning, optimization, and/or building data products. Our process gives you full ownership over the projects you tackle, so you should be a person who dreams big, then executes well.
At Thumbtack, the Data Science team is responsible for a wide variety of problems spanning statistics, machine learning, and computer science:
- Characterize marketplace dynamics. Thumbtack’s marketplaces are comprised of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets.
- Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and pros transacting on our platform.
- Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack’s product.
- Design and execute experiments, collect and analyze data to characterize our product
- Architect and deploy machine learning systems to production
- Design and implement metrics that align with company goals
- Analyze a wide variety of data: structured and unstructured, observational and experimental
- Advise engineering and product teams on sound statistical practices
- M.S. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field
- Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
- Familiarity with machine learning concepts: regression and classification, clustering, feature selection, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.
- Expert knowledge of a statistical language such as R or Python/pandas
- Excellent written and verbal technical communication skills
- Familiarity with a scripting language and/or shell scripting
- Preferred: Ph.D. in Computer Science, Engineering or Statistics
- Preferred: Experience with large-scale distributed systems
- Preferred: Experience with tools in the Hadoop ecosystem such Hive, Pig, or Spark
More About Us
Thumbtack is the destination for getting things done—from house remodeling to event planning to music lessons and more. Each year, more than 200,000 professionals across the country service a growing 5 million Thumbtack projects in almost 1,100 unique categories. Founded in 2009 and headquartered in San Francisco, Thumbtack has raised more than $275 million from Sequoia Capital, Tiger Global Management, Javelin Investment Partners, Baillie Gifford, and Google Capital.
- Learn more about our culture, benefits, and perks
- Learn more about engineering at Thumbtack
- Follow Thumbtack on LinkedIn
Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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