Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary
Work with experts within the team and cross-functionally to develop and manage portfolio of Data Science applications

Act as a project and data liaison between business leaders and the internal team for intaking project requirements, providing status updates and managing expectations on timelines/deliverables

Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics

Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions

Interacts with internal and external peers and managers to exchange complex information related to areas of specialization

Use knowledge in python scripting & SQL to investigate problems, detect patterns and recommend solutions

Required Qualifications

3+ years of relevant experience
Experience programming using R or Python
Experience in SQL

Preferred Qualifications
Demonstrates strong ability to communicate technical concepts and implications to business partners

Anticipates and prevents problems and roadblocks before they occur
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources

Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

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:

$106,605.00 - $206,000.00

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 jobs.CVSHealth.com/benefits

We anticipate the application window for this opening will close on: 09/29/2024

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.