Staff Applied Scientist - Monetization

5 days ago

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Description

β€’ A home is the biggest investment most people make, and yet, it doesn’t come with a manual. β€’ We are driven by a common goal and the deep satisfaction that comes from knowing our work supports local economies, helps small businesses grow, and brings homeowners peace of mind. β€’ At Thumbtack, we're creating a new era of home care. β€’ We're looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistics. β€’ As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well. β€’ The Applied Science team is responsible for a wide variety of problems spanning machine learning, statistics, and computer science. β€’ We need to maintain and grow a marketplace that brings homeowners and service professionals together, where the skills of professionals match with the project needs of homeowners, and where pricing and scheduling align to make these successful jobs done.

Requirements

β€’ Expert knowledge of machine learning techniques β€’ Experience building algorithms to serve complex human settings with dynamic behavior adaptation β€’ Experience in auctions and price theory β€’ Ability to effectively read, write, and debug code in programming languages such as Python β€’ Good knowledge of probability and statistics, including experimental design, optimization, and causal inference β€’ Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects β€’ Ability to communicate clearly and effectively to cross functional partners of various technical levels

Benefits

β€’ Virtual-first working model coupled with in-person events β€’ 20 company-wide holidays including a week-long end-of-year company shutdown β€’ Library (optional use collaboration & connection hub) in San Francisco β€’ WiFi reimbursements β€’ Cell phone reimbursements (North America) β€’ Employee Assistance Program for mental health and well-being

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