CVS Health Job - 38991404 | CareerArc
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Company: CVS Health
Location: New York, NY
Career Level: Mid-Senior Level
Industries: Retail, Wholesale, Apparel


Job Description
It's an exciting time to join CVS Health as a Senior Data Scientist!

Love building predictive models or the idea of helping patients live a longer and healthier lifestyle? As a Senior Data Scientist, you will have the opportunity to lead and participate in the development, validation, and delivery of algorithms, statistical models, and reporting tools. You'll help solves complex analytical problems, develop and/or uses algorithms and statistical predictive models, and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.

Additional responsbilities:
- You will perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
- Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports, and performance metrics. - Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions.
- Interact 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 data in various forms.

Required Qualifications
- 3+ years of progressively complex related experience
- 3+ years of consulting experience
- 3+ years experience with python/R, SQL, and descriptive analysis
- 1+ year experience with Kidney disease

Preferred Qualifications
- 1+ year experience with domain knowledge on value based contracting
- 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.

- Master's degree required (preferably in STEM) .

Business Overview
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.

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