Senior Decision Scientist - Patient Journey

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.

Location: New York City - Hybrid schedule in Soho, 3 days a week every other week. Must reside within a commutable distance from NYC.

The patient journey workstream aims to leverage analytics insights and partnership with key business and operations teams across the organization to deliver a seamless and consumer-centered experience to individuals interacting across multiple CVSH assets.

Via a fully deidentified data environment we are able to explore data from over 7 different business units ranging from retail to clinical data, offering a unique opportunity to access data of over 100M CVSH customers.

The team will leverage the connected data environment to create a common and comprehensive understanding of how key consumer segments currently interact with each of our businesses.

In addition, we aim to identify, prioritize, and execute on initiatives which will impact consumers in “moments that matter” and improve consumer sentiment and health outcomes.

Day to day data science work includes exploratory data analysis, identification and consolidation of key data assets, and customer journey analytics exercises. A successful candidate will be one which is able to think independently and critically, enjoys ambiguous problems with data, highly adaptable, and loves to collaborate with both technical and non-technical business leaders.

• 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

Required Qualifications

• 4+ years of relevant analytic experience

• Experience programming using R or Python

• Experience in SQL

Preferred Qualifications

• 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

• Demonstrates strong stakeholder management capabilities including ability to influence business strategy and decisions with insights

• Demonstrates track record of solving complex and ambiguous problems with minimal oversight

Education

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

• Master’s degree or PhD preferred

Pay Range

The typical pay range for this role is:

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 experienc