Become a part of our caring community and help us put health first
 

Growth Analytics & AI within Humana is dedicated to transforming members’ journeys and Humana’s services using technology and analytics. We are looking for a Senior Data Scientist who will utilize cutting-edge AI, NLP, GenAI techniques, build predictive modeling, test rigorous hypotheses, design studies, and turn data into actionable insights. Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative AI, machine learning, and R&D platforms. The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. The ideal candidate will have hands-on experience with healthcare data, demonstrated innovative, and creative methods for overcoming testing constraints, as well as successfully applying AI, NLP, GenAI, and machine learning techniques to address business needs.

The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist’s work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Exercises considerable latitude in determining objectives and approaches to assignments.

Use your skills to make an impact
 

This is a unique opportunity for a motivated individual to influence Humana’s vision to provide coordinated, integrated member journey via multiple innovative solutions. The Senior Data Scientist creates reports, projections, models, and presentations to support business strategy and tactics. This role influences department’s strategy, contributes to the decision making on complex issues regarding technical approach for project components, and works on model building use cases with minimal supervision. Exercises considerable latitude in determining objectives and approaches to assignments. As a Senior Data Scientist, you will:

• Develop and validate machine learning and statistical models, predictions, reports, and presentations to support business strategy and tactics

• Develop, maintain, and collect structured and unstructured data sets for analysis and reporting

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

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

• Interpret and communicate analytic results to analytical and non-analytical business partners

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

• Compile and present regular and ad-hoc project status reports

• Follow established guidelines/procedures

Required Qualifications

• Master’s Degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, Statistics, or related quantitative field

• 3+ years of experience in advanced data analytics

• Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, DataRobot or similar statistical and scripting tools

• Experience developing and validating machine learning and statistical forecasting models or predictive models, including Random Forest, Gradient Boosting, Neural Networks, cluster analysis, regression analysis, time series, and forecasting 

• Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting

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

• Ability to exercise independent judgment and decision making on moderately complex to complex issues regarding technical approach for project components

• Naturally curious and comfortable with ambiguity and demonstrate critical thinking

• Clear and concise verbal and written communication skills, with a proven ability to translate complex methodologies and analytical results to non-technical business insights

• Strong interpersonal and consulting skills

​Preferred Qualifications

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