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Job description
You’ve invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you’ll be immersed in a culture of continuous improvement, with the goal of changing health care for the better.
Position Summary
This program is a 10-week full-time opportunity that provides real work experience with a team in your business area. You will be aligned to projects to lead or contribute to while also participating in networking, development, and career exploration activities. Our Corporate Interns can apply for future full-time roles during the program and have an increased likelihood to receive an offer for a post-graduation role.
The Summer 2024 program will run June 3rd - August 9th, 2024. Virtual onboarding activities will take place May 29th -31st, 2024.
This is a hybrid position with 3 days (generally Tuesday, Wednesday, and Thursday) in one of the following office locations based on your preference: New York, NY, Wellesley (Boston), MA, Hartford, CT and Irving, TX. The other 2 days each week will be working remotely from home, office, or another location of your choice. No housing or housing stipend will be provided.
Who we are
We are Americas leading health solutions company (Fortune #4), 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 • 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 • Strong communication, organizational, analytical, and problem-solving skills
Education • Currently pursuing a Master’s degree program with an expected graduation date between December 2024 and August 2025 • Preferred majors include Computer Science, Mathematics, Statistics, Physics, Engineering, or related STEM discipline.
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.
Whether in our pharmacies or through our health service offerings, we are pioneering a bold new approach to…