Tech Stack

Description

You will build and deploy advanced ML/AI models to solve complex problems in Oscar's risk adjustment domain, working on large healthcare datasets in a hybrid team environment.

Requirements

• 4+ years of industry or quantitative technical fields.
• 3+ years experience with SQL, R, and/or Python for data manipulation.
• 3+ years experience building data models and using advanced analytics methods.
• Advanced degree in quantitative or technical field (bonus).
• Experience in healthcare, finance, or insurance (bonus).

Responsibilities

• Conduct in-depth data analysis and advanced feature engineering using large healthcare datasets.
• Design, develop, and validate advanced ML/AI models including deep learning, NLP, gradient boosting, and LLMs.
• Leverage modern ML Ops platforms (e.g., Vertex AI) to deploy and maintain production-level models.
• Build and maintain supporting data systems and monitoring infrastructure for AI/ML systems.
• Research and evaluate new AI applications using cutting-edge techniques like LLMs and agentic frameworks.