Duties: Design, Develop and Deploy advanced machine learning models for use in Underwriting, Customer Management, Marketing, and Operations. Assess, clean, merge, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging R, Python and/or SQL. Perform efficient parallel processing computations both within R as well as cluster computing technologies such as SQL and Snowflake. Utilize multiple linear and nonlinear algorithms for testing, development and deployment into our underwriting engine in the application of risk management in all of Elevate's acquisition channels. Efficiently apply data mining methodologies to minimize credit/fraud losses, maximize response and approval rates, and develop methods to enhance profitability of Elevate products. Assist in the implementation of scoring models on multiple decision platforms including R instance deployment, on-premise deployment and cloud deployment and multiple forms such as Java objects, R Object Models and Snowflake Models. Provide knowledge and insight on the third party data providers such as TransUnion, Clarity/Experian and Equifax to include knowledge of products and data available, effective use of variables, data dictionaries as well as advantages and limitations. Maintain clear, detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as RMarkdown, IPython, Jupyter Notebook, etc. Interact with business partners to support the needs and goals of all Elevate portfolios, rock teams, braintrusts and pods. Telecommuting is permitted.
To apply: Visit https://www.jobpostingtoday.com/application/84357/apply
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