Data Scientist

General Responsibilities :

• Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making.
• Collect, clean, and validate structured and unstructured data from multiple enterprise systems, ensuring data quality and integrity.
• Perform statistical analysis, forecasting, and pattern recognition to identify process improvement opportunities.
• Develop interactive dashboards and visualizations using tools like Power BI or Tableau for real-time performance tracking.
• Collaborate with Solution Architects and Business Analysts to integrate data insights into workflow automation and digital solutions.
• Support the creation and enforcement of data governance, metadata, and access-control frameworks in coordination with cybersecurity policies.
• Evaluate and deploy AI / ML models (e.g., classification, regression, clustering, NLP) within automation and decision-support platforms.
• Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure, or GCP.
• Provide technical documentation, data dictionaries, and model explainability reports for audit and compliance purposes.
• Support training and knowledge transfer, enabling end users to interpret and leverage analytical insights.

Minimum Qualifications :

5 8 years of experience in data analytics, machine learning, or AI model deployment.

Technical Expertise :

Preferred Certifications :