Senior Applied Scientist

Summary

Join Thumbtack's Applied Science team as an applied scientist and leverage your expertise in machine learning, optimization, data products, and statistics to drive impactful business outcomes. You will have full ownership over your domain, working on projects such as improving customer and service provider matching, building machine learning models, characterizing marketplace dynamics, and growing Thumbtack's user base. The role involves collaborating with cross-functional teams, designing and executing experiments, and mentoring other applied scientists. Thumbtack offers a virtual-first work model with various benefits and perks. The salary range varies based on location.

Requirements

• Expert knowledge of machine learning techniques
• 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 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

Preferred Qualifications

• Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
• Experience in applied science in growth or marketing at a Marketplace
• 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