Description

You will apply data science methodologies to healthcare datasets to drive product development.

This role is on-site.

Responsibilities

• Perform exploratory data analysis using SQL, Python, and advanced Excel.
• Develop and implement machine learning, deep learning, and reinforcement learning algorithms.
• Build and deploy machine learning models within Microsoft Azure environments.
• Manage the MLOps process and adhere to AI governance standards.

Required Skills

• Proficiency in SQL and Python for data manipulation and analysis.
• Experience with Databricks, Synapse, and Data Factory.
• Hands-on experience building and deploying models in Microsoft Azure.
• Working knowledge of Machine Learning, Deep Learning, and Reinforcement Learning.
• Understanding of the MLOps process and AI governance.
• Master's degree with 1 to 5 years of relevant experience, or a Bachelor's degree with 1 to 7 years of relevant experience.
• Degree in Data Science, Statistics, Applied Mathematics, or Computer Science.

Preferred Skills

• Experience in healthcare data science and working with healthcare datasets.
• Knowledge of the model lifecycle in clinical, operations, financial, fraud, digital, sales, marketing, or wellness domains.
• Familiarity with health outcome indices, patient health management, and healthcare reporting technologies.

Key Skills

Education

Any Graduate