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.
Start Date: Can vary depending on candidate availability
Locations: CVS Health follows a hybrid work model providing office-based colleagues the ability to flex between working in the office and working from home based on the work you need to accomplish. Various locations available and will be confirmed during conversations with the recruiter.
- Work visa sponsorship is available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.
Who we are
We are Americas leading health solutions company delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your 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.
Analytics & Behavior Change is an innovation engine supporting the entire CVS Health organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. We partner with business leaders throughout the organization using advanced analytics tools, modeling, and machine learning to generate insights by using data to create meaningful impact. We’re focused on creating new opportunities that drive change across the enterprise in areas such as:
- Customer experience and behavior change
- Clinical trial recruitment and engagement
- Digital health
- Provider efficiency and effectiveness
- Patient safety
- Health care cost savings
- Clinical services/care management
- Fraud, waste, and abuse detection/prevention
We are inspired to make a difference through data by making health care human-centered and connecting people to the information they need to feel the joy of achieving their best health. Our opportunities in Data Science and Data Engineering are designed to enhance your personal and professional growth and build the skills that lead to success. Analytics & Behavior Change has the feel of a startup within one of the nation’s largest companies, and we’re looking for people who are motivated by solving tough challenges to join us in transforming health care….one line of code at a time.
What you will do
This position lies within the Analytics Engineering vertical. Analytics Engineering is the engine that powers A&BC through the development of production data and ML pipelines. This position will:
- Identify opportunities related to the data science lifecycle and develop solutions
- Lead the development of a Python package for data scientists, which will also be open-sourced
- Embrace a product and systems mindset when developing solutions at scale
- Work cross-functionally with data scientists, data engineers, and leadership
- Use data to inform strategic and design decision making in addition to measuring performance and outcomes to demonstrate efficacy
Required Qualifications
- 1 – 3 of experience programming with Python, SQL, and Git
- Experience developing in a cloud environment (e.g., GCP, AWS, Azure)
- Applicable coursework in data structures, statistics/probability theory, or algorithm design
Preferred Qualifications
- An understanding of machine learning engineering principles such as distributed/parallel computing paradigms and advanced data structures
- An understanding of experiment design, MLOps, and continual learning principles
- Familiarity with modern libraries such as Dask, Ray, Arrow, and Rapids
- Experience developing Python packages as an open-source developer/contributor
- Preferred cloud environment experience with Azure and/or GCP
- Strong communication, organizational, analytical, and problem-solving skills
- Prior domain experience working either in healthcare, supply chain, or retail operations
Education
- Currently pursuing a Master’s degree program with an expected graduation date between September 2024 and August 2025
- Preferred majors include Computer Science, Mathematics, Statistics, Physics, Engineering, or related STEM discipline.
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