The Data Scientist II 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 Data Scientist II uses machine learning and statistics to deliver business solutions based on large structured and unstructured data sets and exercises good judgment in their use of methods and in their communication of results. The Data Scientist II applies the appropriate statistical techniques to solve complex business problems and influences business partners to make data-driven strategic decisions.
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
Role Essentials
Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics or other quantitative discipline
4 years or more of experience in data science or analytics
Experience manipulating and analyzing various types of data using Python, SAS, R, or similar software
Demonstrated experience in creating projections, models, and presentations to support business strategy and operations
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
Role Desirables
Advanced in Python programming and predictive modeling
Experience with data visualization tools such as Power BI, Tableau, RShiny
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 your schedule.
To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
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.Application Deadline: 04-10-2025
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
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