Predictive Modeler/Data Mining Scientist

Company: Humana
Location: Louisville, KY
Web: www.humana.com

Humana Inc., headquartered in Louisville, Kentucky, is one of the nation's largest publicly traded health benefits companies. Humana offers a diversified portfolio of health insurance products and related services - through traditional and consumer-choice plans - to employer groups, government-sponsored plans, and individuals.

Today, Humana is a leader in consumer engagement. Throughout its diversified customer portfolio, the company provides guidance that can both help lower costs and lead to a better health plan experience.

Are you a fit?
Are you an analytical thinker? Would you enjoy using your mathematical and other quantitative expertise to analyze large amount of data and improve critical business processes and financial metrics? We are looking for dynamic, passionate, and innovative individuals who want to be part of a fun and productive team.

Assignment Capsule
As a Predictive Modeling/ Data Mining scientist you will perform data analysis, develop algorithms and predictive models, and present technical information to a broad audience. You will apply algorithms and modeling tools to a variety of data asset, and develop critical solutions for multiple areas of business. You will work with a dynamic and passionate team of experienced scientists and other professionals.

Responsibilities include:

• Create, develop and maintain a suite of predictive analytics to solve critical business problems using the best technologies available
• Develop statistical models & methodologies to predict, quantify, and evaluate various business/health metrics
• Provide expertise and assistance in integrating advanced analytics into ongoing business processes
• Interface with other functional areas on database design, data collection guidelines, and promote models into production
• Identify and recommend new data sources that will maximize analytic output; ensure and maintain data quality and reliability

• Master's Degree in Math, Statistics, Engineering, Computer Science or a related field
• Prior experience on data mining, statistics, pattern recognition, machine learning
• Strong experience using modeling tools such as SAS, SPSS, R, Matlab
• Passion for solving challenging technical problems, creativity, and detail orientated
• Ability to effectively communicate results of statistical models to broad audience

• PhD Degree in Math, Statistics, Engineering, Computer Science or a related field
• Advanced experience and in-depth knowledge of modeling techniques, such as feature transformation, selection, nonlinear modeling including neural networks, boosted trees etc.
• Experience of develop and implement models in transactional databases
• Experience with SAS Enterprise Miner
• Experience with large data sets especially health care data