Realtor.com
Real estate
SeniorManager,MachineLearning
Neural analysis suggests this role is
optimal for Manager candidates.
“Senior Manager, Machine Learning at Realtor.com”
What You'll Achieve.
Drive revenue growth; Improve customer retention; Support strategic decision making
Industry & Context.
How You'll Work.
Communication Scope
Executive presentations
Full Job Description
Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. At Realtor.com®, Machine Learning is part of our DNA. We process terabytes of data every day, and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. We aim to radically simplify home buying/selling and help more people achieve the American dream on our [http://realtor.com|http://realtor.com|smart-link] website and mobile apps. The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to monetization at the company. This is a very high visibility role with extremely high upside as you will have the ability to directly impact the company’s bottom line. As a key member of the team, you will be responsible for the development of a team to execute on innovative concepts, research, predictive modeling, and machine learning algorithms. You will serve as a manager for the machine learning engineers on the team and provide guidance on their individual projects in addition to serving as an expert for any algorithms that you develop or help develop. A successful candidate is obsessed with understanding the intricacies of the company and how revenue is realized. Using this as a guiding light and conditioning it on fa
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