Senior Data Scientist

at  Humana

BECOME A PART OF OUR CARING COMMUNITY AND HELP US PUT HEALTH FIRST

The Senior Data Scientist position uses mathematics, statistics, modeling, economic principles, business analysis, and technology to deliver advanced analytic solutions. The ideal candidate for this position is well-versed in a variety of modeling techniques and understands how to navigate ambiguous business challenges. The Senior Data Scientist position requires an individual who designs and deploys predictive models, with extensive experience implementing their use within business operations.
Member and Provider Analytics, the department this role is a part of, uses data science, business intelligence and Stars expertise to solve meaningful problems for Stars business partners. Our analytics drive Humana’s Stars performance and improve the health and life of our members by transforming data into advanced analytic solutions.
The Stars program is the Centers for Medicare & Medicaid Services (CMS) five‐star quality rating system for measuring Medicare beneficiaries’ experience with their health plans and the health care system. The program is a key component in financing health care benefits for MA and MA‐PD plan enrollees. In addition, the ratings are posted on the Medicare Plan Finder website to help beneficiaries choose the right plan offered in their geography. Quality metrics include screenings and vaccines, managing chronic conditions, member experience with the health plan, member complaints, interactions with providers and customer service. Humana has led all national competitors in the percent of members in 4+ Star plans for six consecutive years. This quality measure of Humana’s Medicare Advantage product offering directly impacts our members’ health.

REQUIRED QUALIFICATIONS

• Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics or equivalent experience
• 5+ years’ experience in a data science or analytics team
• Advanced in using concepts in mathematics, statistics, and technology to transform complex data into advanced analytic solutions
• Demonstrated experience in creating projections, models, and presentations to support business strategy and operations
• Possesses a solid understanding of how organization capabilities interrelate across departments
• Advanced in Python programming
• Experience developing solutions using Databricks, Azure Synapse and/or other cloud-based computing platforms
• Must be passionate about contributing to an organization focused on continuously improving, both for our MA members and our business partners

PREFERRED QUALIFICATIONS

• Master’s Degree in Data Science, Computer Science, Statistics, Mathematics or a related field
• Proficiency in understanding the CMS Star Rating program, including measures within it

DESCRIPTION OF BENEFITS

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

ABOUT US

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

• Collaborate with business leaders to understand challenges and objectives
• Analyze large, complex datasets to identify trends, patterns, and insights
• Develop and implement advanced statistical models to solve complex business problems
• Validate and interpret model results to provide actionable recommendations
• Translate business requirements into data science solutions
• Coordinate with cross-functional teams to ensure timely and successful completion of projects
• Present findings and recommendations to stakeholders