Data Scientist - Machine Learning & Deep Learning

CVS Health • Wellesley, MA

23h

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary As a Data Scientist, you will leverage advanced machine learning theory and hands-on expertise in Python and SQL to deliver impactful data-driven solutions. You will design, develop, and deploy deep learning models, collaborating with cross-functional teams to drive innovation and business value.

Requirements

• 1+ years of hands-on experience in data science, machine learning, or a related field.
• Strong theoretical foundation in machine learning, including supervised/unsupervised learning, model evaluation, and statistical inference.
• Hands-on expertise in Python for data science and machine learning (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Advanced SQL skills for data manipulation and analysis.
• Experience building, training, and deploying deep neural networks (CNNs, RNNs, transformers, etc.).
• Demonstrated expertise in the software development lifecycle (SDLC), with a focus on using GitHub workflows for version control, branching strategies, code review, and CI/CD automation.
• Ability to work with both structured and unstructured data.

Nice To Haves

• Experience with cloud-based ML platforms (e.g., GCP Vertex AI, AWS SageMaker).
• Familiarity with MLOps practices and tools for model deployment and monitoring.
• Experience with big data technologies and distributed computing.
• Excellent communication and collaboration skills.

Responsibilities

• Develop, implement, and optimize machine learning and deep neural network models for a variety of business use cases.
• Apply strong theoretical knowledge of ML algorithms, statistical modeling, and data science best practices to solve complex problems.
• Write efficient, production-quality Python code for data processing, feature engineering, model training, and evaluation.
• Design and execute complex SQL queries for data extraction, transformation, and analysis from large-scale databases.
• Collaborate with engineering and product teams to integrate models into production systems.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Stay current with the latest research and advancements in machine learning and deep learning.
• Participate in the full software development lifecycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance.
• Utilize GitHub workflows for version control, code review, CI/CD, and collaboration, ensuring best practices in code quality and project management.

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
• For more information, visit https://jobs.cvshealth.com/us/en/benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees