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

Participates in the development, validation and delivery of algorithms, statistical models, and reporting tools, supporting a Maternity Care Management program and Next Best Action campaigns. Primarily uses SQL and Python/R to analyze medical claims data and other clinical data sources.

Write complex and efficient SQL code and leverage exploratory data analysis techniques to develop insights from clinical operations data.
Ability to structure and conduct analyses to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses.
Input business requirements from various stakeholders, lead the analysis of vast amounts of data to synthesize strategies and tactics to solve complex problems.
Work closely with team of data scientists, data engineers, and product designers to deliver products and analyses.

Required Qualifications

2+ years of hands-on experience in data analysis and machine learning in healthcare
Strong proficiency with Python (or R) and SQL
Proficiency with hypothesis testing and statistical measurment
Knowledge of machine learning methods
Prior experience using and managing projects leveraging Cloud technologies (e.g. GCP, Azure, AWS, Databricks)
Familiarity with version control systems (Git) and concepts

Preferred Qualifications

Strong business acumen and problem-solving skills with an emphasis on product development
Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team
Strong proficiency in machine learning / AI

Education

Bachelor's degree in Applied Mathematics, Computer Science, Physics, Engineering, Economics, Data Science, or equivalent quantitative field.
Master's degree or PhD preferred

Pay Range

The Typical Pay Range For This Role Is

$86,520.00 - $173,040.00

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: 01/13/2025

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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