Humana Data Scientist 2 in Colorado Springs, Colorado
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.
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.
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
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
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
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.
Scheduled Weekly Hours
Mission: At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. Recognizing healthcare needs continue to evolve for each person, for each family and for each community, Humana continuously creates innovative solutions and resources that help people live their healthiest lives on their terms –when and where they need it. Our employees are at the heart of making this happen and that’s why we are dedicated to building an organization of dynamic talent whose experience and passion center on putting the customer first.
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