Data Scientist II

Tech Stack

Responsibilities

• Analyze healthcare claims, authorization data, and clinical datasets to identify outliers, interpret patterns, and assess trends.
• Train, fine-tune, and implement Large Language Models (LLMs) and deep learning models for anomaly detection and automated analysis.
• Build scalable AWS Airflow pipelines using Python and PySpark to ingest and transform large-scale datasets.
• Develop data models, algorithms, and simulations to support analytical objectives and business workflows.
• Build visualizations and dashboards in Tableau to communicate findings and partner with stakeholders.

Benefits

• Health Insurance
• Learning Budget
• Remote Work

Culture

Requirements