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CVS Health Sr. Data Scientist - Provider Payment Accuracy in Hartford, Connecticut

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.

JOB TITLE

Senior Dat a Scientist

Location:

Hartford, CT - Hybrid

Position Summary

It’s a new day in healthcare!

Looking for opportunities to use cutting edge technologies analyzing petabytes of dat a o n Google Cloud Platform ? Interested in generating analytical insights that inform provider networks and engagement strategies that support members on their individualized health and wellness journey? CVS 's Analytics & Behavior Change team delivers strategically impactful programs and tools that expand convenient access to high-quality and affordable care for all members across multiple channels across all stages of life.

At CVS , we’re pioneering a total approach to health and wellness. As a Sr Dat a Scientist on the Analytics & Behavior Change team, you’ll build industry-leading analytics, dat a , and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team, delivering powerful solutions that inform network strategy and design, improve network performance and provider engagement, develop new provider offerings, and enhance consumer experience.

You will be part of a fast-paced, innovative, collaborative team, helping solve problems, drive impact, and deliver key insights to our customers by leveraging innovations in dat a science, machine & deep learning, and predictive modeling techniques.  You will derive meaning from dat a and deploy robust solutions through provider-directed engagement channels (e.g., digital) that helps consumers identify affordable care, when they need it, and with whom.

FUNDAMENTAL COMPONENTS

  • Leads and participates in the development, vali dat ion and delivery of algorithms, statistical models, and reporting tools. Solves complex analytical problems.

  • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.

  • Performs analyses of structured and unstructured dat a to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.

  • Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, dat a 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 strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

  • Use strong programming skills to explore, examine and interpret large volumes of dat a in various forms.

    REQUIRED QUALIFICATIONS

  • 5 or more years of progressively complex related experience

  • 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 dat a sets from multiple dat a sources.

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

  • Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.

    Preferred Qualifications Healthcare industry work experience is preferred Education

    Master's degree

Pay Range

The typical pay range for this role is:

$97,335.00 - $201,900.00

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: 04/29/2024

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