Thumbtack needs to improve customer and service provider matching, model complex relationships in data, characterize marketplace dynamics, and build a healthy marketplace by evolving monetization mechanics.
Requirements
- Expert knowledge of machine learning techniques, particularly as applied to search, ranking, and matching problems
- Experience with NLP techniques, including familiarity with modern LLM designs and tools
- 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
Responsibilities
- Initiate and drive applied science initiatives to completion, with a focus on the business impact of those projects
- Architect and deploy machine learning systems and algorithms 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 engineers, data scientists, 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
Other
- Ability to communicate clearly and effectively to cross functional partners of various technical levels
