Description

Humana’s Clinical Trend and Analytics Team is seeking a Principal 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 Principal Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.

Responsibilities

As a Principal Data Scientist you will lead a team of scientists as well as provide strategic direction on large scale business problems. You understand challenges in multiple business domains, are able to discover new business opportunities and at times you may not even fully understand what the problem is before starting. The problems we address are significantly complex and we expect you to lead excellence in our data science methodologies. You have scientific and industrial maturity to deliver designs and algorithms that set the standard for the organization. You have a distinct ability to identify and implement robust, efficient and scalable solutions that leverage multiple techniques and/or technologies. You will make and quantify cross-organization trade-offs to implement mechanisms to ensure that benefit persists. You will have a significant role in developing others.

Responsibilities

• Influence Humana's enterprise population health strategy by championing innovative ideas with analytical teams, business partners, and clinicians. You are recognized as a trusted leader who helps drive results for both the Analytics organization as well as our business partners.
• Develop machine learning, and AI solutions to support our key business partners within Humana's Enterprise Clinical Management organization to find opportunities to improve health outcomes and lower healthcare costs
• Gain trust and respect by validating and explaining your results, taking ownership of the end-to-end process.
• The solutions you develop provide measurable value to our key business partners in the form of accurate estimates, rapid detection of anomalies, and customer satisfaction.

Required Qualifications

• PhD  + 4 years’ experience OR Master’s Degree + 7 years’ experience
• Experience leading enterprise-wide data science projects from scratch to scale
• Significant record of publications, exhibiting influence within an industry
• Experience interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision makers
• Clear oral and written communication skills

Preferred Qualifications

• Ph. D degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
• Healthcare or managed care experience
• Experience with cloud-based ecosystems (GCP, AWS, Azure)
• Experience working in Agile environments
• Flexible, dynamic personality who is able to work independently

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.