Job Description

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

Experience
3-4years of relevant experience building data science feature pipelines and AI/ML models and rich experience in Python, SQL, and Spark

Reports To
Director- Analytics

Qualification
Holds degree in Computer Science, Math or other Science, Preferred-Master\'s Degree

Roles & Responsibilities Must Have
Working with large volumes of data; extract and manipulate large datasets using standard tools such as Python, Spark, and SQL
Gathering and prioritize opportunities to leverage AI and predictive modeling working with Product Management
Strong understanding of business problems from domain experts and develop predictive models using python/R
Developing and testing feature pipelines needed for model training and scoring.
Developing and testing multiple model approach and develop winning version
Monitoring model performance and re-train models as needed
Following coding best practices, documentation, implementation guidelines, process
Communicating complex concepts and the results of the models and analyses to technical and non-technical audience
Creative problem-solving skills
Strong communication skills
Good team player

Should Have
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

Could Have
Microsoft Azure Data Factory ADF knowledge.
Numbers of Positions:
2