Remote Applied Scientist

Summary

The job is for an Applied Scientist at Thumbtack, a virtual-first company that operates in multiple countries. The role involves using machine learning techniques to work on various problems related to marketplace monetization and data analysis. The position requires expertise in machine learning, auctions and price theory, and statistics.

Requirements

• Expert knowledge of machine learning techniques
• Experience building algorithms to serve complex human settings with dynamic behavior adaptation
• Experience in auctions and price theory
• 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
• 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

Preferred Qualifications

• Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
• Expert knowledge of auctions and price theory
• 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