✦ Luna Orbit — AI & Machine Learning

Senior Data Scientist - ML/AI Digital Workplace Experience

at CVS Health

Unknown 💰 $92K – $203K USD / year Posted March 17, 2026
Salary $92K – $203K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Not specified
Category AI & Machine Learning

This role involves designing, developing, and deploying advanced machine learning models and Generative AI solutions to enhance enterprise digital workplace experiences. The candidate will work at the intersection of data science, AI innovation, and enterprise technology.

  • Design and deploy ML models
  • Lead Generative AI solutions
  • Analyze large datasets
  • Partner on AI use cases
  • Mentor team members

The technical environment includes Python, ML/AI frameworks (TensorFlow, PyTorch), large-scale data platforms (Databricks, Spark, BigQuery), and Generative AI tools like LLMs and RAG architectures.

The ideal candidate is a senior data scientist with 5+ years of experience in machine learning and AI, specializing in Generative AI, LLMs, and prompt engineering. They possess strong Python skills and experience with large-scale data platforms, capable of leading AI projects that transform digital workplace experiences.

5+ years of hands-on experience delivering production-level ML/AI solutionsexpertise in Generative AILLMsRAG architecturesand prompt engineeringproficiency in Pythonexperience with ML/AI frameworks (scikit-learnTensorFlowPyTorchHugging FaceLangChain)experience with large-scale data platforms (DatabricksSparkBigQuery)
NLP techniquesstatisticsprobabilityexperimental designstorytelling
AzureAWSGCPDatabricksSparkBigQueryHugging FaceLangChain
Pythonscikit-learnTensorFlowPyTorchHugging FaceLangChainSQLDatabricksSparkBigQuery
Pythonscikit-learnTensorFlowPyTorchHugging FaceLangChainML/AI frameworksGenerative AILLMsRAG architecturesprompt engineeringSQLDatabricksSparkBigQuery
communicationleadershipteamworkproblem-solvinganalytical thinking
Industry Healthcare IT
Job Function Lead AI and machine learning initiatives to improve digital workplace tools and experiences.
Role Subtype AI Engineer
Tech Domains Python, TensorFlow, PyTorch, Hugging Face, LangChain, Databricks, Spark, BigQuery
machine learningAIgenerative AILLMsprompt engineeringML pipelinesMLOpsdata analysisstatisticsPythonTensorFlowPyTorchHugging FaceLangChainDatabricksSparkBigQueryAI governancetransformer modelslarge language models

Less than 5 years of experience in ML/AI, Lack of experience with Generative AI or LLMs, No proficiency in Python, No experience with large-scale data platforms, No experience in AI governance

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