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Machine Learning Engineering Internship - Graduate - Summer 2024
Machine Learning Engineering Internship - Graduate - Summer 2024-October 2024
New York
Oct 30, 2024
ABOUT CVS HEALTH
CVS Health is a healthcare innovation company. Together, we are helping people on their path to better health.
10,000+ employees
Healthcare
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About Machine Learning Engineering Internship - Graduate - Summer 2024

  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 changeClinical trial recruitment and engagementDigital healthProvider efficiency and effectivenessPatient safetyHealth care cost savingsClinical services/care managementFraud, waste, and abuse detection/preventionWe 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 solutionsLead the development of a Python package for data scientists , which will also be open-sourcedEmbrace a product and systems mindset when developing solutions at scaleWork cross-functionally with data scientists, data engineers, and leadershipUse 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 GitE xperience 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 structuresAn u nderstanding of experiment design, MLOps , and continual learning principlesFamiliarity with modern libraries such as Dask , Ray, Arrow, and RapidsExperience developing Python packages as an open-source developer/contributorStrong communication , organizational, analytical, and problem-solving skillsEducationCurrently pursuing a Master's d egree program with an expected graduation date between December 202 4 and August 202 5Preferred 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 total health care. As health care innovators, we are making quality care affordable, accessible, simple and seamless. We await your fresh ideas, new perspectives, and the unique contributions you will make to our organization.

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