Summary
Join Thumbtack's Customer Growth Applied Science team and contribute to profitable growth by developing and deploying cutting-edge AI/ML models. You will work with vast amounts of user data to create scalable in-app features for onboarding, engagement, and reactivation. The role involves designing and executing experiments, analyzing structured and unstructured data, and collaborating with cross-functional teams. You will also mentor other applied scientists and drive impactful roadmaps for the business. This is a remote position.
Requirements
- 5+ years of experience developing production grade machine learning models
- Ability to effectively read, write, and debug code in programming languages such as Python
- Good knowledge of probability and statistics, including experimental design, optimization, and causal inference
- Experience with technical mentorship of other applied scientists
- Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution
- Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects
- Ability to communicate clearly and effectively to cross functional partners of various technical levels
Responsibilities
- Initiate and drive applied science initiatives to completion, with a focus on the business impact
- Architect and deploy machine learning systems to production
- Design and execute experiments, collect and analyze data to characterize our product and marketing
- Analyze a wide variety of data: structured and unstructured, observational and experimental
- Collaborate with engineering, marketing, and economists to use sound statistical practices
- Maintain the right balance between speed of execution and scientific rigor when designing solutions
- Technical mentorship of other applied scientists
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