Senior Data Scientist

Data Scientist (AI / ML) – Remote (US-Based Only)

Schedule : Monday–Friday, 8 : 30 AM–5 : 00 PM (Local Time)

Employment Type : Temp-to-Hire (Performance-Based)

Work Setup : Dual monitors + docking station required

Location Requirement : Must reside in one of the preferred states (AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY outside greater NYC , OH, TX, UT, WA outside greater Seattle , WI)

About the Role

We are seeking an experienced Data Scientist (AI / ML) to develop, deploy, and optimize advanced machine learning solutions across healthcare-driven initiatives. This role focuses on data integrity, model development, agentic workflows, and the creation of predictive AI systems that directly support business and clinical decision-making. You will collaborate with cross-functional teams, perform complex analysis, and contribute to innovation within AI / ML for healthcare.

Key Responsibilities

• Perform data analysis, error detection, and model validation to ensure high-quality datasets.
• Design, develop, and train supervised, unsupervised, deep learning, and reinforcement learning models.
• Implement agentic workflows to enable AI-driven autonomous task execution.
• Leverage RAG (Retrieval-Augmented Generation) patterns to enhance language model performance.
• Fine-tune pre-trained models for domain-specific datasets and applications.
• Clean, preprocess, and transform data to support optimal model outcomes.
• Deploy models into production, monitor real-time performance, and adjust as needed.
• Partner with engineering, product, and business teams to integrate AI solutions into existing systems.
• Maintain clear documentation on models, methodologies, and outputs.
• Stay current with advancements in AI / ML and incorporate best practices into ongoing development.
• Provide mentorship and technical leadership to junior data scientists.
• Support business initiatives by developing ML models that drive Star Ratings improvements, reduce care gaps, and support healthcare outcomes.

Required Qualifications

Preferred Qualifications

Work Environment