: Senior Data Scientist - 72367BR
One Soho Square
New York, NY 10013

Employee Testimonials

CVS Health testimonial
CVS Health testimonial

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Job Description

Its a new day in health care. Combining CVS Health and Aetna was a transformative moment for our company and our industry, establishing CVS Health as the nations premier health innovation company. Through our health services, insurance plans and community pharmacists, were pioneering a bold new approach to total health. As a CVS Health colleague, youll be at the center of it all. We offer a diverse work experience that empowers colleagues for career success. In addition to skill and experience, we also seek to attract and retain colleagues whose beliefs and behaviors are in alignment with our core values of collaboration, innovation, caring, integrity and accountability.

Looking for opportunities to use cutting edge technologies analyzing petabytes of data in a world class Hadoop cluster? Interested in generating analytical insights that inform provider networks and engagement strategies that support members on their individualized health and wellness journey? Aetna's Provider & Network Analytics 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 Aetna, were pioneering a total approach to health and wellness. As a Data Scientist on the Analytics & Behavior Change team, youll build industry-leading analytics, data, and technology platforms to help re-imagine 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 data science, machine & deep learning, and predictive modeling techniques. You will derive meaning from data 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, validation 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 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.
  • 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 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.

Background 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 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.
  • 5 or more years of progressively complex related experience.
  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Masters degree or PhD preferred.

Education
Master's degree

Percent of Travel Required
0 - 10%

Business Overview
Aetna, a CVS Health company, 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 are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. 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.

Full-time

Employee Testimonials

CVS Health testimonial
David L. Casey
Vice President, Workforce Strategies and Chief Diversity Officer

The military has an ethos that is grounded in purpose-driven service that’s bigger than the induvial. The same holds true for us at CVS Health. You can talk to colleagues in any part of our business and they will be able to articulate our company’s purpose. Working here provides an opportunity for service members and military spouses to continue to serve -- just in a civvies.

CVS Health testimonial
Susan Medina
Head of Executive Search & International Talent Acquisition

As a member of the CVS Health team I have the chance of a lifetime to work for a company with a purpose in which I truly believe. Who wouldn’t want to go to work every single day knowing that every conversation, every meeting, every email, every day will have an impact on someone, especially when that someone is likely a friend, a family member, a grandma, or even a stranger?