Position Summary
Within the data science department (“Analytics & Behavior Change”), you’ll have the opportunity to drive the next level of PBM (Pharmacy Benefit Manager) member experience and service quality at a leading national healthcare brand.
We’re looking for aspiring analytical enthusiasts to drive efficiency and growth in Caremark's PBM business, using advanced analytics, predictive modeling, and statistics. We expect the candidate to leverage business acumen and good data storytelling to help Caremark improve member well-being and its product and services. PBM Analytics is one of the key teams within the Analytics & Behavior Change department and partners with the PBM leadership to drive innovation and develop cutting edge solutions.
This is a hands-on Senior data scientist role, with a combination of business/stakeholder consulting and data analysis (technical coding, including using machine learning methods).
Responsibilities
- Generate insights, build machine learning, deep learning and statistical predictive models and develop analytical approaches which form the foundation for driving patient engagement tactics aimed at improving medication adherence and patient experience.
- Deploy large scale machine learning and deep learning models in a production environment.
- Effectively collaborate with Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/automate model development and deployment processes (Github, MLOps etc.).
- Perform data quality assessments, remediate or curate data as necessary, perform data modeling.
- Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insights from billions of transactional records at the Retail Pharmacy.
- Prepare communication material such as presentations and reports, collaborate effectively with business, marketing, trade and other stakeholders across the organization.
- Mentor peers and lead intern projects.
Required Qualifications
- 3+ years of hands-on experience in generating business insights, machine learning and deep learning frameworks.
- Strong problem-solving skills.
- Strong communication skills and ability to work with/manage business stakeholders.
- Strong experience with deployment of machine learning and deep learning models in production.
- Strong proficiency with Python and SQL, data quality assessment and data modeling.
- Strong proficiency with Github and MLOps.
Preferred Qualifications
- Strong experience with cloud-based ML frameworks (either AWS, Azure or GCP).
Education
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
- Master's degree or PhD preferred.
Pay Range
The typical pay range for this role is: $111,240.00 - $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.
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