Data Scientist Lead

Kemper Corporation
Kemper Corporation

Job Overview

Location(s)Chicago ILDetailsResponsibilitiesWork as part of a team to build predictive models designed to support the Kemper organization in areas such as risk selection, customer segmentation and lifetime value, insurance pricing, operational efficiency and fraud detection.Develop and automate predictive modeling processes that can be deployed through the organization to solve reoccurring analytics needs (ex: state specific implementations).Aid the decision making process of our internal customers by building easy to deploy tools that present both insightful data summaries and actionable modeling results.Serve as project coordinator for complex work streams that employ multiple analysts to solve specific business problems. Provide guidance and feedback to managers on analyst performance as needed.Provide implementation support for completed projects to insure work results are successfully deployed in the marketplace.Experiment with and conduct internal peer reviews for new modeling techniques to continually improve on existing methodologies. Serve as a modeling expert across the P&C organization.SkillsModeling software:  Python and R – strong skills with one and some familiarity with the other. Experience with the Spark ecosystem strongly preferred.Solid coding skills and proficient with at least one programming language (C++, Java, Python, Scala, etc.)Ability to work with various data formats – from delimited text files to ODBC connections, data frames and relational databases.Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering or neural networks.Combining various analysis methods to solve complex business problems, including using mathematical optimization techniques to combine predictions of different statistical modelsExcellent overall communication skills, particularly possessing the ability to translate technical results for wide audiencesExperienceGraduate degree in a quantitative field preferred: Mathematics, Statistics, CS, Physics etc.10+ years’ experience in a data science environment; some interaction with the Property and Casualty insurance industry preferredFull time

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