Senor Machine Learning Modeler / Data Scientist

ZestFinance

(Los Angeles, California)
Full Time
Job Posting Details
About ZestFinance
ZestFinance is a technology startup that uses machine learning and large-scale data analysis to transform credit availability for millions of Americans. Over the past 5 years, ZestFinance has built a big data underwriting technology that more accurately predicts likelihood of repayment. ZestFinance uses this technology to make loans to customer that banks typically overlook. ZestFinance also licenses its technology to other companies, including JD.com in China.
Summary
As a Machine Learning Modeler, you will use your math wizardry to develop radically new methods for data access, manipulation, and modeling that will enable us to provide fair, transparent credit alternatives to underbanked Americans. As our name implies, we work with a great deal of enthusiasm and energy along with a social conscience and passion for leveraging data and technology to transform financial services as we know it.
Responsibilities
* Design and implement new models for predicting various outcomes * Select and evaluate data elements and transformations * Work with Product Management, Marketing, and Business to develop models to support specific business needs * Lead and mentor more junior team members and perform as a subject matter expert in your field of expertise * Feel good about coming to work and enjoy not only the time you spend at the office, but the people you’re spending it with as well
Ideal Candidate
* Bachelor’s Degree in Math, Computer Science, or related discipline; advanced degrees preferred * 5+ years of experience designing, developing, and implementing large-scale machine learning or mathematical models * A proven, demonstrable track record of success * Extensive programming experience in one or more of the following: Matlab, R, S, SAS, and an interest in learning new languages and technologies * Knowledge of data structures, algorithms and complexity analysis * Experience with large scale data storage and analysis (e.g., Hadoop, MapReduce)

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