Remote Senior Applied Scientist

Summary

Join us to build the only app homeowners need to effortlessly manage their homes, knowing what to do, when to do it, and who to hire. With Thumbtack, millions of people care for what matters most, and pros earn billions of dollars through our platform.

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
• 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 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

Preferred Qualifications

• Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
• Experience with large-scale distributed systems
• Ph.D. in a relevant field

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