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We seek a skilled Lead Data Scientist to join our Medicare Population Health Enablement data science team. The role involves developing and evaluating initiatives to reduce health disparities in Aetna’s Medicare population, analyzing benefit impacts, and examining program effectiveness. Collaboration with cross-functional teams and mentoring junior colleagues are integral aspects of the job.
Job Responsibility:
Developing and evaluating initiatives to reduce health disparities in Aetna’s Medicare population
Analyzing problems such as how benefit changes impact members
Examining the effectiveness of programs to assist members with social risk factors
Collaborating with cross-functional teams to understand requirements, define objectives, and deliver insights on the cloud
Mentoring junior colleagues by providing technical guidance and facilitating learning opportunities and career development.
Requirements:
5+ years industry experience in data science or machine learning
5+ years industry experience in program design, management, or evaluation
Experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure)
Experience querying production tables for obtaining data (e.g. SQL, NoSQL)
Proficient in Python and object-oriented programming
Experience in statistics and hypothesis testing
Good communication skills including the ability to explain technical concepts to non-technical audiences
Bachelor’s degree in social science (e.g., psychology, public health), data science, statistics, computer science or related field.
Nice to have:
Successful design, deployment, management, and evaluation of programs to address disparities between groups
Experience with healthcare data, especially in the health disparity domain
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