AI/ML Data Scientist
Listed on 2026-10-26
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
Job Details:
This position focuses on leveraging AI/ML, particularly Large Language Models (LLMs) and AI/ML solutions to drive medical cost savings and operational efficiency across Optum's Projects. The role involves designing scalable data science solutions and leading innovation in healthcare analytics.
Key Responsibilities:
• LLM Integration:
Apply LLMs to enhance analytic methodologies and develop intelligent automation solutions.
• End-to-End Pipelines:
Buildand maintain full data science pipelines including ingestion, feature engineering, modeling, deployment, and monitoring.
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Cross-Functional Collaboration:
Work closely with engineering, product, and business teams to align models with strategic goals.
• Innovation Leadership:
Lead initiatives in AI/ML innovation, including foundation models and retrieval-augmented generation.
• Mentorship:
Guide junior data scientists and promote best practices in coding and collaboration.
Required Qualifications:
• 5+ years in predictive modeling, ML, NLP, or deep learning.
• Strong Python skills and experience with ML libraries (Scikit-learn, PyTorch, Tensor Flow, SparkML).
• 3+ years of SQL experience in distributed data environments.
• 2+ years working with cloud platforms (AWS, Azure, GCP).
• 1+ years hands-on with LLM frameworks (e.g., Hugging Face, Lang Chain, OpenAI APIs).
• Experience with Apache Spark and Git.
Preferred Experience:
• Healthcare data analytics.
• AI/ML applications in Healthcare
• Familiarity with production-grade ML systems and MLOps.
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