Senior Data Scientist
Washington, District of Columbia, 20022, USA
Listed on 2026-01-24
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Overview
Become a part of our caring community and help us put health first
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 work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
Humana’s Healthcare Quality & Reporting Improvement (HQRI) department is seeking a Senior Data Scientist to join a high-performing team dedicated to advancing predictive modeling and analytics in support of our Medicare and Medicaid business. The HQRI team plays a pivotal role within Humana, delivering insights that drive the effectiveness of risk adjustment initiatives.
The Senior Data Scientist in this role will empower risk adjustment decision makers through predictive analytics. They will provide actionable, accurate, and reliable solutions to support our operations and finance partners’ business needs. They will put the customer first, delivering timely and clearly communicated results.
ObjectivesWithin six months, take ownership of at least 2 of our major models
Within one year, improve our models by increasing efficiency, building a new model/process, and/or improving the accuracy of an existing model
Utilize mathematics, statistics, and programming to generate predictions that drive risk adjustment operations and strategy
Partner with peers and supervisors to establish an overall collaborative working relationship
Deliver complex information in the manner most useful to the customer, utilizing tables, charts, graphs, filters, etc. to make clear the most important aspects of the information presented
Seek always to understand customers’ needs and work in partnership with customers to develop solutions that satisfy those needs
Required Qualifications
Bachelor s Degree and 5 years of applicable experience OR Master s Degree and 3 or more years of experience
Proficiency with one of the following: SQL, SAS, R or Python
Experience using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
Ability to use independent judgment requiring analysis of variable factors and determining the best course of action.
Master’s degree or higher education
Experience in health care, insurance, or risk adjustment
This position is remote and work can be performed anywhere in the US; however, preference is for candidates to be located within reasonable commutable distance to Louisville, Kentucky.
Additional InformationTo 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.
As part of our hiring process for this opportunity, we will be using an interviewing technology called Hire Vue to enhance our hiring and decision-making ability. Hire Vue 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.
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