Lead Data Scientist, CVS Health

CVS Health

Location:
United States, Work At Home, Connecticut

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

130295.00 - 260590.00 USD / Year

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Job Description:

We are seeking a Lead Data Scientist for the Medicare Member Experience Data Science team at CVS Health. This role involves developing AI/ML solutions, using NLP techniques for member text and call documents, and mentoring junior Data Scientists.

Job Responsibility:

Develop Artificial Intelligence and Machine Learning (AI/ML) solutions to improve the experience of millions of Aetna members
Use natural language processing (NLP) techniques to improve models, pipelines, and text analytics programs based on member text and call documents
Maintain industry-leading satisfaction scores and drive millions of dollars of Medicare reimbursement for the business
Mentor junior Data Scientists to ensure successful product development

Requirements:

4+ years industry experience (or equivalent experience) as a Data Scientist, (AI/ML) Machine Learning Engineer, Deep Learning Engineer, or MLOps Engineer
Experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure)
Experience with NLP techniques, such as sentiment analysis, topic modeling, and transfer learning, especially using transformer-based models
Understanding of creating class-based deep learning models in TensorFlow, PyTorch, or JAX and optimizing training or deployment for GPUs
Proficiency in Python and Git to collaborate in a team environment with shared modules and scripts
Familiarity with Python IDEs and a basic understanding of programming tools such as formatters, linters, and test suites
Demonstrated experience with Agile frameworks like Scrum, SAFe, Kanban, or Lean
Experience with project management tools like Jira, Trello, or Azure DevOps, and a track record of delivering projects on time
Good communication skills including concisely conveying the root causes of problems, risks, and blockers

Nice to have:

Google Cloud Platform (GCP) certification, or extensive experience with GCP Managed Services (BigQuery, VertexAI, DataProc, DataFlow, and/or Google Kubernetes Engine)
Industry experience optimizing training / inference pipelines with HuggingFace on A/L/H series GPUs (bfloat, quantized, sparse, tf32, distribution including SPMD/DDP/FDSP)
Industry experience using LLMOps tools for toxicity detection or bias detection, or for LLM evaluation
Experience managing the ML lifecycle through MLOps best practices, including monitoring, retraining, and model bias evaluation
Comfort calling Generative AI APIs, with or without “tools”, potentially as agents
Experience with parallel or asynchronous functions (Joblib, Multiprocessing, Apache Beam, Apache Spark)
Familiarity with customer experience data, particularly within the healthcare space
Advanced degree in a quantitative discipline

What we offer:

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
Paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access

Additional Information:

Job Posted:
July 31, 2025

Expiration:
August 04, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Lead Data Scientist