Healthcare Data scientist

Description

8 Years of Experience: We require at least 4 years of practical experience in data science, encompassing a strong track record of successful projects and contributions.
ETL Pipeline Experience: The candidate should have a proven ability to design, build, and optimize ETL (Extract, Transform, Load) pipelines for efficient data processing and analysis.
Python Proficiency: Profound expertise in Python is a crucial requirement, as the role heavily relies on Python for data analysis, modeling, and visualization.
Nice-to-Have Qualities:
While not mandatory, the following qualities would be considered advantageous:
Experience Deploying ML Models at Scale: Practical experience in deploying machine learning models at scale would be a significant asset, showcasing the ability to operationalize data science solutions effectively.
Experience Evaluating LLM (Large Language Models): Familiarity with the evaluation of Large Language Models (LLM) and their applications in data science.
Experience Building Healthcare ML Models: Experience in developing healthcare-focused machine learning models would be a strong plus.

Responsibilities

• Analytical Mindset: We value individuals who can think critically, analyze data effectively, and draw actionable insights from complex datasets.
• Effective Communication: Strong communication skills are essential for collaborating with cross-functional teams and conveying data-driven findings