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Position Summary
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 strong 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.
Our team routinely utilizes petabytes of data paired with extensive industry knowledge of actuarial partners to develop best-in-class machine learning models. As we expand our team to tackle new and diverse use cases, you can help us overcome new challenges & build solutions using innovative machine learning techniques. If you are passionate about problem-solving, quantitative analysis, and applying actuarial science in the realm of data science, we encourage you to apply.
Overview:
- 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
- Extensive experience with SQL, Python, Spark & Cloud computing (AWS, GCP, MS Azure)
Required Qualifications
- 5+ years Commercial and/or Medicare Health Insurance pricing experience, including proven ability to communicate and consult effectively with internal or external clients
- 1+ years of professional experience in data analytics, BI, data engineering or applied data science
- 1+ years of experience with SQL and Python/R
- Accredited Actuary is required (Associate of the Society of Actuaries or Fellow of the Society of Actuaries)
Preferred Qualifications
- 3+ years of professional experience in data analytics, BI, data engineering or applied data science
- 3+ years of experience with SQL and Python/R
Education
- Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
- Master's degree preferred
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit Benefits | CVS Health
We anticipate the application window for this opening will close on: 10/27/2024
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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