Humana Inc. is seeking to improve the overall quality of life for individuals across various demographics by delivering innovative insurance and healthcare services, and the Senior Data Scientist role aims to support risk adjustment initiatives within the Medicare and Medicaid sectors
Requirements
- Proficiency in SQL, SAS, R, or Python for data analysis and modeling
- Strong experience in transforming high-volume, complex data into advanced analytic solutions using mathematics, statistics, and business analysis
Responsibilities
- Utilize mathematical, statistical, and programming skills to generate predictive models that support risk adjustment strategies and operations
- Partner with peers and supervisors to foster a collaborative working environment and ensure project alignment
- Deliver complex analytical insights in a clear and concise manner tailored to customer needs, utilizing visual aids like charts and filters
- Take ownership of major models, aiming to improve their efficiency and accuracy within specified timelines
- Continuously enhance existing models or develop new processes to increase analytical precision and operational impact
- Support risk adjustment decision-makers by providing timely, reliable, and actionable predictive insights
- Stay updated on industry best practices and incorporate innovative techniques into modeling approaches
Other
- Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field with at least 5 years of applicable experience OR Master’s Degree with 3 or more years of relevant experience
- Ability to exercise independent judgment, analyze variable factors, and determine optimal courses of action
- Excellent communication skills to present complex information effectively using visual tools such as tables, charts, and graphs
- Demonstrated ability to work collaboratively within teams and with stakeholders at various levels
- Travel requirements not specified
