DATA SCIENTIST

Build and support data-driven solutions using large enterprise datasets, data lakes, and cloud-based data platforms for business insights and reporting.

Analyze structured and unstructured data from multiple sources to identify trends, patterns, and opportunities for business improvement.

Work with data engineers, architects, and business teams to prepare clean, reliable, and usable datasets for analytics and machine learning use cases.

Develop data models, dashboards, and analytical frameworks to improve decision-making, reporting speed, and operational efficiency.

Support machine learning readiness by designing scalable data pipelines, improving data quality, and organizing data for advanced analytics applications.

Use big data and cloud technologies to process high-volume batch and near real-time data for enterprise reporting and analytics needs.

Ensure data solutions follow governance, quality, security, and compliance standards while delivering accurate and meaningful analytical outputs.