Data Scientist

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization’s success. The Kemper Auto team has an immediate need for a talented data science professional. This individual will help support data analytics, forecasting, and predicative modeling for Direct to Consumer, Telematics, and Operations.

• Work 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, marketing, 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.
• Contribute to the improvement of internal modeling capabilities and data infrastructure by suggesting and applying tweaks to existing processes.

• 3-5 years of post-education experience working in a data science/ predictive analytics role.
• Graduate degree in a quantitative field required:
  Mathematics, Statistics, CS, Physics, MIS, Economics, etc., PhD preferred.
• Modeling software:
  Python and R - strong skills with one and some familiarity with the other. Knowledge of the Spark ecosystem preferred.
• Some experience with natural language processing is preferred.
• Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, matplotlib, 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.
• Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.
• Experience in visualizing data and Power BI is a plus
• Passion for machine-learning and research
• Strong background in machine learning, statistics, and predictive models
• Prior experience of working with imbalanced datasets and AWS is a plus
• Self-directed and able to work with little supervision
• Excellent written and verbal communication skills
• This is a remote position and can be worked from any US-based home

The range for this position is $78,800 to $135,000. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)