AI/ML Data Scientist - REMOTE

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 month(s)
No Travel Required

Skills

LLM
NLP
OpenAI
PyTorch
tensorflow
Langchain
Hugging face

Job Details

Role - AI/ML Data Scientist
Location - Minneapolis, MN(Remote)

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: Build and maintain full data science pipelines including ingestion, feature engineering, modeling, deployment, and monitoring.
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, TensorFlow, SparkML).
3+ years of SQL experience in distributed data environments.
2+ years working with cloud platforms (AWS, Azure, Google Cloud Platform).
1+ years hands-on with LLM frameworks (e.g., Hugging Face, LangChain, 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.