Data Scientist

Overview

Data Scientist to develop AI-driven healthcare enterprise applications and deliver actionable analytics from large datasets.

What you'll do

• Translate business challenges into analytical solutions.
• Analyze complex datasets to find trends, patterns, and actionable insights.
• Design, build, and maintain data models and reporting systems using ML/DL.
• Evaluate model performance and communicate business impact.
• Identify product and process improvement opportunities using advanced analytics.
• Ensure accuracy and reliability via rigorous testing, validation, and optimization.
• Stay current with AI/ML and healthcare analytics best practices.

What you'll need

• 4+ years of hands-on Python experience with Pandas, NumPy, SciPy, Matplotlib, and regular expressions.
• Advanced SQL querying and optimization for large datasets.
• Experience training, tuning, and testing ML algorithms (e.g., SVM, CART, Bagging, Boosting) and text mining.
• Experience with prompt engineering and GenAI for classification, data enrichment, and semantic embeddings.
• Ability to integrate multiple data sources and work with unstructured data such as text and images.
• Strong OOP skills and experience creating custom Python packages for serverless applications.
• Hands-on AWS experience including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend.