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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 availabilityLocations: 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 areWe 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/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 doThis 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 efficacyRequired 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 designPreferred 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 operationsEducation• 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.Pay RangeThe typical pay range for this role is:$72,100.00 - $173,040.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.For more detailed information on available benefits, please visit Benefits | CVS HealthWe anticipate the application window for this opening will close on: 12/23/2024Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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What You Should Know About Machine Learning Engineer, CVS Health

Imagine being part of a team where your passion for technology is at the forefront of transforming health care. As a Machine Learning Engineer at CVS Health in Hartford, CT, you'll play a pivotal role in driving innovative solutions that truly impact people's lives. We're a company that believes in bringing our heart to every moment of health care, and we want you to help us deliver that promise. In this position, you'll dive into exciting projects, where you’ll help develop the backbone of our analytics processes. You’ll work with Python and SQL to build production data and machine learning pipelines, while collaborating cross-functionally with data scientists and engineers to tackle complex health challenges. Our hybrid work model lets you enjoy a balanced work-life blend, whether you’re in the office or from the comfort of your home. Plus, if you're an international candidate, worry not — we offer work visa sponsorships too! With us, you have the chance to dive deep into the data science lifecycle and even open-source your coding projects. If you’re passionate about leveraging technology for better health outcomes, this opportunity at CVS Health is waiting for you. Join us in making health care more personal, convenient, and affordable, one line of code at a time!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at CVS Health
What are the key responsibilities of a Machine Learning Engineer at CVS Health?

As a Machine Learning Engineer at CVS Health, your primary responsibilities include developing and optimizing machine learning pipelines in Python, collaborating with data scientists and engineers to create impactful analytics solutions, and addressing problems across various departments like clinical services and patient safety. You'll need to identify key opportunities in the data science lifecycle and work on open-source Python packages to enhance our tools, all while keeping the focus on delivering human-centric health care.

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What qualifications do I need to become a Machine Learning Engineer at CVS Health?

To apply for the Machine Learning Engineer role at CVS Health, you should have 1-3 years of experience with Python, SQL, and Git, along with cloud environment familiarity (GCP, AWS, Azure). Current pursuit of a Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline is essential. Familiarity with machine learning engineering principles and frameworks such as Dask and Ray is preferred to ensure you thrive in this innovative environment.

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How does CVS Health support professional development for Machine Learning Engineers?

CVS Health is committed to enhancing the personal and professional growth of its employees, particularly for those in technical positions like Machine Learning Engineers. Opportunities for development include free access to educational courses, mentorship programs, and the chance to work on impactful projects that contribute to real-world health challenges. You’ll also have the freedom to innovate and explore alongside some of the best talents in the field.

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What is the work environment like for a Machine Learning Engineer at CVS Health?

At CVS Health, Machine Learning Engineers enjoy a hybrid work model that offers the flexibility of working in the office or remotely, depending on project needs. The environment encourages collaboration and innovation, mirroring the dynamic feel of a startup while being fortified by the resources of one of the nation’s largest health solutions companies. This setup ensures you'll have the best of both worlds as you develop solutions that matter.

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What benefits does CVS Health offer to Machine Learning Engineers?

CVS Health offers a comprehensive benefits package for Machine Learning Engineers, which includes medical, dental, and vision coverage, along with a 401(k) retirement savings plan. Employees also enjoy well-being programs, education assistance, and a CVS store discount. Additionally, you’ll benefit from paid time off and various leave programs, ensuring a healthy work-life balance while working towards improving health care solutions.

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Common Interview Questions for Machine Learning Engineer
Can you describe your experience with Python in machine learning projects?

When answering this question, focus on specific projects where you utilized Python, discussing the libraries and frameworks you used (like TensorFlow or PyTorch) and how you implemented machine learning algorithms. Highlight any challenges you faced and how you overcame them, showcasing your problem-solving skills.

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How do you ensure the models you develop are efficient and scalable?

In your response, discuss your knowledge of model optimization techniques, such as hyperparameter tuning and using cloud services like AWS or GCP to scale your applications. Provide examples of how you have previously tested or deployed models in production settings to ensure they meet user demands.

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What experience do you have with data preprocessing and cleaning?

Explain your process for data cleaning, including tools and methodologies you've used to handle missing values, normalize data, and perform feature selection. Illustrating your attention to detail can highlight your understanding of the importance of data quality in machine learning workflows.

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Describe a time when you resolved a conflict in a team setting.

Focus on a specific example where effective communication and collaboration were key to resolving a disagreement. Emphasize the outcome, how it improved the project, and what you learned from the experience. This showcases your interpersonal skills — a critical aspect of team dynamics.

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How do you stay current with the latest developments in machine learning?

Mention your continuous learning habits, such as following industry blogs, attending webinars, or participating in Python and machine learning community meetings. This shows your commitment to professional growth and the ability to keep pace with rapid technological advancements in your field.

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What challenges do you expect to face in the role of Machine Learning Engineer at CVS Health?

Acknowledge potential challenges like dealing with complex healthcare data or ensuring compliance with health regulations. Then, explain how your skills and previous experiences have prepared you to tackle these challenges effectively, reinforcing your problem-solving capabilities.

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Can you explain the concept of MLOps and its relevance?

Discuss the integration of machine learning and DevOps practices, emphasizing its role in automating and streamlining the development, deployment, and maintenance of models. Provide examples of tools you've used to facilitate MLOps in your projects, showcasing your technical knowledge.

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What methods do you use to evaluate the success of your machine learning models?

Highlight techniques such as cross-validation, confusion matrix, and performance metrics like precision, recall, and F1 score. Discuss how you interpret these results to iterate and improve upon your models, demonstrating a solid understanding of model validation.

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Share an experience where you worked with a cross-functional team.

Provide a narrative of a project where you collaborated with multiple stakeholders, illustrating how you navigated different perspectives to achieve a common goal. Discuss the communication strategies you used to ensure everyone was aligned, highlighting your collaborative work style.

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What is your approach to open-source contributions?

Explain your philosophy towards open-source contributions, emphasizing the importance of community collaboration and knowledge sharing. Provide examples of any contributions you've made or projects you wish to engage with to showcase your proactive involvement in the open-source community.

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We help people with their health wherever and whenever they need us. And we do it with heart. Because our passion is our purpose: Bringing our heart to every moment of your health™.

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Full-time, hybrid
DATE POSTED
December 21, 2024

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