Description

The Cognitive/Machine Learning Professional 2 leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Cognitive/Machine Learning Professional 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

Humana’s Data Health and Analytics Team is seeking a Cognitive/Machine Learning –Data Scientist.

This position collaborates with analytic and data teams to set objectives, approaches, and work plans. Researches and evaluates new analytical methodologies, approaches, and solutions. Develops and validates statistical forecasting models and tools. Interprets and communicates analytic results to analytical and non-analytical business partners and executive decision makers. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.

This role will be based in Boston at Humana's new office - Studio H, located at 281 Summer Street in the Seaport District.

At Humana Studio H, we offer the expansive data and technology architecture needed to get things done. We’re harnessing the power and potential of predictive modeling, artificial intelligence and machine learning to revolutionize—and forever impact—the way healthcare is delivered.

First year success factors:

•Develop machine learning, AI, and Deep Learning solutions to support our key business partners within the Retail and Employer Group Segments.
•The solutions developed will provide measureable value to our key business partners in the form of increase in efficiency (time and computationally), improved member experience, and return on investment.
•You are recognized as a team member who helps drive results for both the Enterprise Data and Analytics organization as well as our segment partners.
•You have developed effective partnerships with internal business partners and coworkers.

Required Qualifications

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

Working experience R or Python

1-5 years of professional experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights

Experience developing and validating statistical forecasting models and tools

Experience interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision makers

Clear oral and written communication skills

Flexible, dynamic personality who is able to work independently in a team environment

Preferred Qualifications

Healthcare or managed care experience

Demonstrated experience with SAS, QlikView, SQL, PL/SQL, MATLAB or similar statistical tools

Experience performing data management, mining, and manipulation along with analytics