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.

Position Summary

The Data Scientist role within CVS Health is on the front line of driving innovation and directly impacting business decisions. This role falls within the Analytics and Behavior Change organization and will focus on building & deploying analytic models to improve member heatlh. This team works with business partners to understand their goals and objectives and generates insights connecting analytical results with business problems/goals and present recommendations to internal teams and business partners. The ideal candidate will be a flexible collaborator and team player who can contribute to all phases of the project including data preparation, data cleaning and interpretation, analysis, model building, quality assessments and presentation of results.

• 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.
• Preparing communication material such as presentations and reports, collaborate effectively with business, product, trade and other stakeholders across the organization.

• 3+ years of hands-on experience in generating business insights and applying statistical/machine-learning models
• 3+ years of experience coding in Python or similar programming language
• 3+ year experience with SQL
• Experience in observational study design and evaluation

• Demonstrates good written and verbal communication skills. Able to present information to various audiences.
• Excellent problem solving and critical thinking ability.
• Effectively resolves problems and roadblocks as they occur.
• Demonstrated proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization.
• Ability to work with large data sets from multiple data sources.

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