Professional Data ScientistExpiring Soon!

• Execute and contribute to the implementation and delivery of data science projects under the guidance of the Principal Professional Data Scientist.
• Develop, test, and deploy machine learning models for tax compliance, risk assessment, fraud detection, and other analytical needs.
• Perform data preprocessing, cleaning, transformation, and feature engineering on large-scale datasets (e.g., EBM transactions, tax declarations, customs data).
• Collaborate with IT, Compliance, Risk Management, and Policy teams to integrate analytical solutions into operational workflows.
• Assist in building, monitoring, and maintaining ML pipelines and workflows, ensuring reproducibility, scalability, and reliability.
• Contribute to the deployment of ML solutions in production environments, including containerized services, cloud platforms, and APIs.
• Implement and maintain ML model tracking, versioning, and performance monitoring using tools like MLFlow, Weights & Biases, or KubeFlow.
• Follow best practices in coding, documentation, version control, and data governance standards.
• Stay current with AI/ML tools, techniques, and industry trends, and suggest potential improvements or innovations.
• Participate in ad hoc analyses, model audits, and testing activities as required.

Qualifications & Experience:

• Master’s Degree in Data Science specialized in Data Science
• Master’s Degree in Artificial Intelligence / Machine Learning specialized in Data Science
• Master’s Degree in Big Data & Analytics specialized in Data Science
• Master’s Degree in Computer Engineering specialized in Data Science
• Master’s Degree in Computer Science specialized in Data Science
• Master’s Degree in Data Mining specialized in Data Science
• Master’s Degree in Statistics / Applied Mathematics specialized in Data Science
• Master’s Degree in Economics specialized in Data Science
• Master’s Degree in Information Technology / Information Systems specialized in Data Science