CVS Health · 1 day ago
Data Scientist - Machine Learning & Deep Learning
CVS Health is dedicated to building a more connected and compassionate health experience. The Data Scientist role involves leveraging machine learning and deep learning techniques to develop impactful data-driven solutions while collaborating with cross-functional teams.
Health CareMedicalPharmaceuticalRetailSales
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
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
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, 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.
Company
CVS Health
CVS Health is a health solutions company that provides an integrated healthcare services to its members.
H1B Sponsorship
CVS Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
$4BKey Investors
Michigan Economic Development CorporationStarboard Value
2025-08-15Post Ipo Debt· $4B
2025-07-17Grant· $1.5M
2019-11-25Post Ipo Equity
Leadership Team
Recent News
The Motley Fool
2026-01-22
bloomberglaw.com
2026-01-22
Company data provided by crunchbase