Principal Professional Data Scientist

Job Title: Principal Professional Data Scientist

Grade: P3

Supervisor: Director for Data Science Unit

Location: HQ

Working Mode: Hybrid

Purpose

The Principal Professional Data Scientist provides technical leadership, oversees advanced analytics projects, and guides a team of data scientists in delivering impactful solutions aligned with the institution’s strategic goals. The holder of this position is responsible for leading, mentoring, and coordinating the work of the Data Science team. The role ensures the design, development, and deployment of advanced analytical models by using machine learning (ML) and artificial intelligence (AI) techniques to address institutional challenges, improve compliance and service delivery, and to support policy formulation.

Key duties and responsibilities

• Lead and manage the data science team, ensuring effective planning, task allocation, and delivery of high-quality results.
• Provide technical direction, mentorship, and capacity building to strengthen team skills and performance.
• Align data science projects with RRA’s strategic priorities and compliance objectives.
• Collaborate with IT, Compliance, Risk Management, Auditors, Enforcement, and Policy units to integrate solutions into tax administration.
• Translate business requirements into actionable data science projects and communicate findings through clear reports, dashboards, and presentations.
• Oversee the design, development, deployment, and lifecycle management of machine learning models and platforms.
• Direct complex analyses of large-scale datasets (e.g., EBM transactions, tax declarations, customs data) to generate actionable insights.
• Work with Data Engineering to design and maintain data pipelines supporting AI/ML models.
• Support ad hoc analysis and timely reporting to inform decision-making.

• Ensure all AI/ML solutions comply with governance, cybersecurity, privacy, and regulatory requirements.
• Promote adherence to best practices, ethical standards, and documentation in data science.
• Manage integration of external/third-party data sources in line with RRA’s governance frameworks.
• Stay updated on industry trends and emerging technologies to drive innovation in tax administration.

Required Academic Qualification    Preferred Qualifications

• Master's Degree in Data Science specialized in data science
• Master's Degree in Artificial Intelligence / Machine Learning specialized in datascience
• 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

   Relevant Qualifications

• Bachelor's Degree in Data Mining specialized in data science
• Bachelor's Degree in Computer Science specialized in datascience
• Bachelor's Degree in Computer Engineering specialized in data science
• Bachelor's Degree in Statistics / Applied Mathematics specialized in data science
• Bachelor's Degree in Data Science specialized in data science
• Bachelor's Degree in Information Technology / Information Systems specialized in data science
• Bachelor's Degree in Economics specialized in data science
• Bachelor's Degree in Artificial Intelligence / Machine Learning specialized in data science
• Bachelor's Degree in Big Data & Analytics specialized in data science

Required Competencies

1. Accountability
2. Inclusiveness
3. Integrity
4. Leadership and supervision
5. Professionalism
6. Analytical skills
7. Mentoring and coaching
8. People, resources, time and performance management
9. Problem solving
10. Teamwork
11. Planning, organization and coordination
12. Details oriented
13. Technology awareness
14. Commitment to continuous learning

Required Experiences

1. 6 years experience in data science for a bachelor's degree and 3 years experience for a master's degree.