Data Scientist - Retail Health Services

at  CVS Health

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.

REQUIRED QUALIFICATIONS

• BS degree in Computer Science, Engineering, Statistics, or other quantitative field
• 2+ years of experience programming in Python and SQL
• 1+ years of experience working in designing, developing and implementing data science solutions

PREFERRED QUALIFICATIONS

• MS in Computer Science, Engineering, Statistics, or other quantitative field
• Demonstrable Python software development background
• Excellent communication and presentation skills, with the ability to work effectively with cross-functional teams and manage stakeholders
• High level of self-motivation and curiosity
• Knowledgeable about emerging data technology and learning techniques

EDUCATION

BS degree in Computer Science, Engineering, Statistics, or other quantitative field

• Design, develop and implement predictive models using advanced data science concepts (e.g., regression modeling, time series forecasting, classification, data clustering, deep learning)
• Utilize data mining techniques and perform exploratory data analysis to extract insights from internal data sources to interpret model impact and goals
• Analyze patient outreach and journey data to help develop benchmarks, optimization strategies and develop analytics solutions
• Develop and participate in presentations and consultations to existing and prospective constituents within the business, technology and operational counterparts on new insights and analytics results
• Collaborate with large teams on code development, including developer-friendly Python packages to make data science-oriented functionalities accessible to the organization
• Develop scalable source code, write tests, and participate in overall architecture discussions to create scalable products and functionalitie