Description

The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

Humana’s Clinical Trend and Analytics Team is seeking a Data Scientist. 

The Clinical Trend and Analytics team uses advanced scientific techniques, forecasting, and machine learning to predict financial and clinical outcomes in order to guide investments that improve health outcomes and reduce costs. In this exciting start-up environment, you'll have the opportunity to develop data science processes from the ground up and work directly with decision-making executives to shape the future of Humana's most important strategic initiatives.  

We think big and relentlessly innovate to redefine the future of healthcare with data science. 

The Data Scientist leverages large sets of structured and unstructured data to develop tactical and strategic insights. The work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. 

Responsibilities  

• Develop and validate statistical forecasting models or predictive models and tools 

• Research and evaluate innovative analytical methodologies, approaches, and solutions 

• Collaborate with analytic and data teams to set objectives, approaches, and work plans 

• Interprets and communicates analytic results to analytical and non-analytical business partners 

• Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas 

• Make decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed 

Required Qualifications 

• Master's Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related quantitative field 

• 2+ years of experience in advanced data analytics 

• Demonstrated experience with SAS, SQL, MATLAB, DataRobot, Python or similar statistical and scripting tools 

• Experience developing and validating statistical forecasting models or predictive models  

• Experience interpreting and communicating analytic results to analytical and non-analytical business partners  

• Flexible, dynamic personality who is able to work independently in a start-up environment 

Preferred Qualifications 

• PhD in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related quantitative field 

• Strong programming skills in Python and/or PySpark and libraries such as Scikit-Learn, Tensorflow, Keras and Spark ML 

• Healthcare or managed care experience 

• Experience building large-scale forecasting systems 

• Experience with clinical claims Episode Treatment Groupers 

Additional Information 

Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. Consumers expect more personalized and holistic experiences from their health partners.  Humana’s Enterprise Clinical Operating Model (ECOM), is a multi-year strategy with the goal of improving member experiences and health outcomes through better integrating Humana's processes, technology and clinical capabilities. The person occupying this role will be instrumental in executing on the vision of ECOM in partnership with leaders and teams across Humana. Ideally, this position would be located in Louisville, KY. However we would consider another Humana location or telecommute for the ideal candidate.