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

The Senior Data Scientist uses statistics and machine learning techniques to develop advanced analytic solutions. A good candidate will have experience designing, deploying, and implementing predictive models within business operations. Desired characteristics for candidates are experience with healthcare and/or survey data, Medicare Stars knowledge, and advanced statistics and machine learning expertise.

The Senior Data Scientist will be a part of Member and Provider Analytics, a team which 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. This quality measure of Humana’s Medicare Advantage product offering directly impacts our members’ health.

The Senior Data Scientist uses machine learning and statistics to develop sophisticated models based on large structured and unstructured data sets and exercises considerable latitude in determining objectives and approaches to assignments. 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 experience implementing their use within business operations.

 Responsibilities include:

• Collaborate with business leaders to understand challenges and objectives, identify opportunities, and propose solutions

• 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

• Coordinate with cross-functional teams to ensure timely and successful completion of projects

• Present findings and recommendations to stakeholders

Use your skills to make an impact
 

Role Essentials

• Bachelor's Degree with 5+ years' experience in a data science or analytics role OR Master’s or PhD Degree with 3+ years' experience in a data science or analytics role

• Experience manipulating and analyzing various types of data using Python, SAS, R, or similar software

• Strong business acumen with experience using concepts in mathematics, statistics, and machine learning to develop relevant forecasting capabilities

• Demonstrated experience in creating projections, models, and presentations to support business strategy and operation

• History of solving problems, creating solutions and driving change within a team

• Demonstrated strategic and analytical thinking

• Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways

• Ability to make decisions on moderately complex to complex issues regarding technical approach for project components

Role Desirables

• Advanced in Python programming and predictive modeling

• Work experience in a health care and/or insurance setting

• Proficiency in understanding the CMS Star Rating program, including measures within it

• Experience developing solutions using Databricks, Azure Synapse and/or other cloud-based computing platforms

• Expertise in machine learning and stochastic modeling techniques 

Additional Information

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for yo