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Join our team of healthcare data scientists as we develop the next generation of risk prediction models. We are looking for an experienced actuary with a foundation in actuarial methodologies and training in data science to bridge traditional actuarial expertise with modern machine learning techniques. This role will allow you to leverage your background and skills to help provide insights and model solutions to stakeholders across the CVS Health & Aetna organizations.
Job Responsibility:
Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Explores, examines and interprets large volumes of healthcare utilization data in various forms
Performs analyses of predominantly structured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses
Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
Uses data visualization techniques to effectively communicate analytical results and support business decisions
Creates & evaluates the data needs of assigned projects and assures the integrity of the data
Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
Requirements:
Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
3+ years Health Insurance Actuarial experience, including proven ability to communicate and consult effectively with internal or external clients
3+ years of professional experience in data analytics, BI, data engineering or applied data science
3+ years of experience with SQL and/or Python/R
3+ exams passed towards Society of Actuaries accreditation
Nice to have:
Masters's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
4+ years of professional experience in data analytics, BI, data engineering or applied data science
4+ years of experience with SQL and Python/R
Associate of the Society of Actuaries or Fellow of the Society of Actuaries
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