Associate- Analytics

Responsible for designing, developing, and implementing advanced AI/ML models to solve business problems related to Revenue Cycle operations for US based healthcare Systems.

2-4 years of relevant experience building AI/ML models and rich experience in python, R, and SAS, NLP experience is preferred

Degree in Computer Science, Math or other Science, Preferred-Master's Degree

• Gathering and prioritizing opportunities to leverage AI and predictive modelling working with Product Management.
• Strong understanding of business problems from domain experts and developing predictive models using Python / R.
• Working with large volumes of data; extracting and manipulating large datasets using standard tools such as Python, R, H2O, Hadoop, and SQL.
• Developing and testing multiple model approaches and developing winning versions.
• Developing NLP models to enhance data extraction capability.
• Monitoring model performance and re-train models as needed.
• Following coding best practices, documentation, implementation guidelines, and process.
• Communicating complex concepts and the results of the models and analyses to a technical and non-technical audience.
• Creative problem-solving skills.
• Strong communication skills.
• Good team player.

• Knowledge of databases, schemas and data extraction from finance/accounting systems.
• Working in agile development methodologies. Know how to develop Epics, Features and Stories and refine the backlog appropriately for the team.
• Good sense of prioritization and time management.
• Ability to make effective independent decisions.

• Microsoft Azure Data Factory ADF knowledge.