Description

You will develop and deploy production client models using analytical methods.

Responsibilities

• Build and deploy client models using regression, decision trees, and support vector machines.
• Apply supervised and unsupervised learning techniques to solve business problems.
• Perform data analysis, modeling, and manipulation using large datasets.
• Manage data workflows across relational databases and cloud platforms.
• Move models into production environments.

Required Skills

• 2-4 years of relevant work experience, preferably in the healthcare industry.
• Proficiency in Python and R for statistical modeling.
• Strong SQL skills for data manipulation.
• Hands-on experience with Spark for distributed computing.
• Experience using Teradata relational database management systems.
• Practical experience with AWS and Databricks cloud platforms.
• Any graduate degree.

Key Skills

Education

Any Graduate