Professional Data Scientist

Job Title: Professional Data Scientist

Grade: P1

Supervisor: Director for Data Science Unit

Location: HQ

Working Mode: Hybrid

Purpose

A Professional Data Scientist works under the supervision of the Principal Professional Data Scientist. The holder of this position will contribute to the design, development, and deployment of advanced analytical models, machine learning solutions, and use AI techniques to solve complex institutional challenges, improve compliance, and support evidence-based decision-making.

Key duties and responsibilities

1. Execute and contribute to the implementation and delivery of data science projects under the guidance of the Principal Professional Data Scientist.
2. Develop, test, and deploy machine learning models for tax compliance, risk assessment, fraud detection, and other analytical needs.
3. Perform data preprocessing, cleaning, transformation, and feature engineering on large-scale datasets (e.g., EBM transactions, tax declarations, customs data).
4. Collaborate with IT, Compliance, Risk Management, and Policy teams to integrate analytical solutions into operational workflows.
5. Assist in building, monitoring, and maintaining ML pipelines and workflows, ensuring reproducibility, scalability, and reliability.
6. Contribute to the deployment of ML solutions in production environments, including containerized services, cloud platforms, and APIs.
7. Implement and maintain ML model tracking, versioning, and performance monitoring using tools like MLFlow, Weights & Biases, or KubeFlow.
8. Generate reports, dashboards, and visualizations to communicate insights to technical and non-technical stakeholders.
9. Follow best practices in coding, documentation, version control, and data governance standards.
10. Stay current with AI/ML tools, techniques, and industry trends, and suggest potential improvements or innovations.
11. Participate in ad hoc analyses, model audits, and testing activities as required.
12. Support knowledge sharing and mentoring of junior data professionals or interns.
13. Prepare and deliver clear reports, visualizations, and presentations that communicate key analytical insights to stakeholders and support data-driven decision-making.

Required Academic Qualification    

Preferred Qualifications

1. Master's Degree in Data Science specialized in Data Science
2. Master's Degree in Artificial Intelligence / Machine Learning specialized in Data Science
3. Master's Degree in Big Data & Analytics specialized in Data Science
4. Master's Degree in Computer Engineering specialized in Data Science
5. Master's Degree in Computer Science specialized in Data Science
6. Master's Degree in Data Mining specialized in Data Science
7. Master's Degree in Statistics / Applied Mathematics specialized in Data Science
8. Master's Degree in Economics specialized in Data Science
9. Master's Degree in Information Technology / Information Systems specialized in Data Science

   Relevant Qualifications

1. Bachelor's Degree in Data Science specialized in Data Science
2. Bachelor's Degree in Artificial Intelligence / Machine Learning specialized in Data Science
3. Bachelor's Degree in Big Data & Analytics specialized in Data Science
4. Bachelor's Degree in Computer Engineering specialized in Data Science
5. Bachelor's Degree in Computer Science specialized in Data Science
6. Bachelor's Degree in Data Mining specialized in Data Science
7. Bachelor's Degree in Statistics / Applied Mathematics specialized in Data Science
8. Bachelor's Degree in Economics specialized in Data Science
9. Bachelor's Degree in Information Technology / Information Systems specialized in Data Science

Required Competencies

1. Accountability
2. Client/Citizen Focus
3. Communication
4. Integrity
5. Professionalism
6. Analytical skills
7. Decision making
8. Time management
9. Problem solving
10. Teamwork
11. planning
12. Risk management
13. RRA Business Acumen
14. Ability to maintain accurate records and reporting
15. Flexibility and adaptability
16. Technology awareness
17. Commitment to continuous learning

Required Experiences

1. 2 years experience in Data Science for a masters' degree and 4 years for a bachelors' degree.