CVS Health is the nation’s leading health solutions company, dedicated to transforming health care. As a Data Scientist, you will leverage advanced machine learning techniques to design and deploy deep learning models, collaborating with cross-functional teams to drive innovation and business value.
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.
Qualification
Required
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
Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline; Master’s or PhD preferred
Preferred
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
Benefits
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access
CVS Health is a health solutions company that provides an integrated healthcare services to its members.
