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

Employee Testimonials

CVS Health testimonial
CVS Health testimonial

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Job Description
Please only use the Fundamental Components/Job Description area. Do not change any of the wording of the description as it is written specifically by our lawyers.

Fundamental Components
Responsible for extraction and manipulation of structured and unstructured data from multiple, large data sources, using advanced statistical techniques and software to develop predictive models and actionable analytic insights to inform business decisions. Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques. Develop and use algorithms and statistical predictive models. Inform clinical program decisions with performance and segmentation analysis. Design and evaluate Test and Control experiments for clinical interventions to improve member health. Lead and perform analyses of structured and unstructured data to solve business problems using advanced statistical techniques and mathematical analysis. Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics to improve engagement and impact of clinical programs. Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions. Utilize algorithms and predictive models to investigate problems, detect patterns, and recommend solutions. Use programming languages Hive, R, H2O and Python to explore, examine and interpret large volumes of data in various forms.

Background Experience
Masters Degree in Statistics, Analytics, or a related field.

Minimum 2 years of data science experience including collaborating with business partners to understand problems, gather business requirements, and design analytics solution frameworks. Previous experience must include working in SQL or HIVE to extract, manipulate and analyze large structured and unstructured data sets from multiple data sources; utilizing R and Python; building statistical and machine learning predictive models; working on segmentation projects using clustering techniques including K-means, Hierarchical clustering, and PAM; and utilizing mathematical analysis methods, study design, randomization, stratification, statistical analyses, and matching techniques; and performing report automation and visualization using programs including Tableau.

Education
Master's degree

Percent of Travel Required
N/A

Business Overview
At 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?