AI/ML Data Scientist

TechDigital Group; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm is seeking a skilled Data Scientist specialized in AI and ML. This role focuses on integrating Large Language Models to drive efficiency and innovation in healthcare analytics. Candidates must have substantial experience in predictive modeling and strong skills in Python and SQL. Join us to lead impactful projects across the healthcare sector.

Qualifications

• 5+ years in predictive modeling, ML, NLP, or deep learning.
• Experience with ML libraries like Scikit-learn, PyTorch, TensorFlow, 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.

Responsibilities

• Apply LLMs to enhance analytic methodologies.
• Build and maintain full data science pipelines.
• Work closely with cross-functional teams.
• Lead initiatives in AI/ML innovation.
• Guide junior data scientists.

Skills

Python

Predictive modeling

Machine Learning

Natural Language Processing

Deep Learning

SQL

Cloud platforms (AWS, Azure, GCP)

LLM frameworks (Hugging Face, LangChain)

Apache Spark

Git

Job description

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.
• 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, GCP).
• 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/MLapplications in Healthcare
• Familiarity with production-grade ML systems and MLOps.