Senior Data Scientist - Healthcare AI & Analytics - Remote

Overview

As a Senior Data Scientist in Healthcare AI and Analytics, you will play a crucial role in developing innovative solutions using advanced data science, machine learning, and natural language processing (NLP) techniques. Your work will focus on transforming complex healthcare data into actionable insights, helping to improve patient care and healthcare operations.

In Short

• Lead the design and deployment of machine learning and AI models, including NLP techniques, to address key healthcare challenges.
• Develop and maintain scalable data analytics pipelines on cloud platforms (AWS, Azure, GCP).
• Collaborate with product teams to identify healthcare issues and define data science solutions that align with business goals.
• Conduct exploratory data analysis on both structured and unstructured healthcare data to generate insights.
• Implement text classification, sentiment analysis, and named entity recognition models to support healthcare applications.
• Mentor and provide technical guidance on GenAI and LLMs to other team members, ensuring best practices in model development.

Requirements

• Proven experience in data science and analytics, particularly in healthcare.
• Strong knowledge of machine learning algorithms and NLP techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Ability to work collaboratively in cross-functional teams.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to convey complex data insights.

Benefits

• Opportunity to work on impactful healthcare projects.
• Flexible working hours and remote work options.
• Professional development and mentorship opportunities.
• Collaborative and innovative work environment.