Data Science Practitioner

Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.

Research and Development

• Explore, evaluate, and customize machine learning and statistical models to meet specific needs.
• Enhance existing models for improved performance.
• Develop new algorithms and features for product enhancements.

Data Quality

• Set and define standards for data quality checks.
• Collaborate with Data Engineers for data calculations, aggregations, and preprocessing activities.
• Establish best practices and policies for data quality and make strategic recommendations for data handling.