AI ML Data Scientist (Healthcare data Exp)
Posted 1 day ago by 1753945368
Negotiable
Outside
Remote
USA
Summary: This role as an AI ML Data Scientist focuses on utilizing AI/ML technologies, particularly Large Language Models, to enhance healthcare analytics and operational efficiency at Optum. The position requires designing scalable data science solutions and leading innovation in the field while collaborating with cross-functional teams. The candidate will also mentor junior data scientists and drive initiatives in AI/ML innovation. This is a remote position based in the U.S. for a duration of 6 months.
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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: AI ML Data Scientist
Location: Remote (U.S.)
Duration : 6 months
Role Overview: 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.