Lead, Analytics (Data Science), Product Innovation

About the role

The Lead Analyst, Product Innovation drives the application of AI-enabled, data-driven capabilities across the Revenue Cycle Management (RCM) organization. This role is primarily focused on traditional machine learning model development—from problem framing and feature engineering through model training, evaluation, and deployment support—to improve decision-making and operational performance.

What you'll do

• Translate business problems into ML use cases; define target outcomes, evaluation metrics, and baselines
• Perform data exploration, feature engineering, and dataset creation using Python and SQL; validate data quality and lineage
• Train, tune, and evaluate traditional ML models; run experiments, compare approaches, and document results and assumptions
• Partner with engineering and data teams to support deployment patterns (batch/real-time), monitoring, and model performance tracking
• Prepare stakeholder-ready insights, model performance summaries, and recommendations to inform product direction and prioritization

What you need

• 6–11 yrs of experience
• Analytics
• Machine learning
• SQL
• Python
• LLMs
• Prototyping
• Any graduate

Good to have

• Prompt engineering
• Azure
• Business analysis