Decision Scientist - Healthcare Actuary

Overview

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

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.

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 new 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.

• 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
• A person in this position will gain extensive experience with SQL, Python, Spark & Cloud computing (AWS, GCP, MS Azure)

• 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
• Fewer years of experience may be acceptable with a related Masters degree and appropriate scholastic experience
• 3+ exams passed towards Society of Actuaries accreditation

• 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

40

Full time

The typical pay range for this role is:

$79,310.00 - $

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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they…