Responsibilities
- Create and manage scalable data workflows to support HR analytics and data science projects
- Build and maintain ETL and ELT processes for consolidating data from HR platforms including HRIS, ATS, LMS, and Payroll systems
- Apply data transformation techniques to prepare inputs for analytical and machine learning models
- Maintain high reliability, efficiency, and monitoring of data pipelines
- Design preprocessing workflows to support machine learning development and deployment
- Develop and sustain feature engineering processes and data refresh cycles for HR models
- Implement automated validation checks to ensure integrity of model input data
- Construct and manage custom API integrations to support model deployment
- Support the development of monitoring systems for deployed machine learning models
- Establish data quality frameworks and automated validation procedures
- Uphold compliance with data privacy regulations and governance standards
- Document data lineage and manage up-to-date data dictionaries
- Assist in data stewardship tasks and resolve data quality concerns
