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In this role you will be responsible for the independent review and validation of various types of models, including machine learning models, that are being developed or have been implemented at State Farm. Statistical areas of model review include but are not limited to problem design, data engineering, model development, performance validation, and plans for ongoing monitoring. Furthermore, you will rely on your experience to discuss alternative approaches as well as develop alternative models to the ones proposed by other data scientists. Moreover, the Model Validation team provides periodic independent statistical consultation, analysis, or modeling work apart from independent review.
Why Join Our Team:
Implementing solutions is critical for success for data science at State Farm. As part of the Model Validation team, your role will consist of problem identification, solution proposals and presentations to a wide variety of management & technical audiences. This role allows you to work on multiple concurrent projects in a community setting, develop yourself and others, and advance data science both at State Farm and externally. The variety of projects, technologies, and statistical techniques will create an unbounded development opportunity for enhancing your analytic skills.