Assistant/Deputy Director, Data Science
Public Service DivisionSingapore, Singapore
Posted October 29, 2025
Full Time
About the Company
The Public Service Division (PSD) aims to build a first class Public Service for a successful and vibrant Singapore. We do this through public sector leadership development, capacity and capability building and the promotion of quality services at all levels of the Public Service.
Job Description
The Assistant/Deputy Director, Data Science is responsible for leading the design, development and implementation of advanced analytics models, machine learning models and scalable data pipelines that support the organisation’s strategic and operational objectives. The role also encompasses responsibility for ensuring the reliability, scalability and performance of the supporting data infrastructure and pipelines.
Requirements
- Trained in Data Science, Computer Science, Statistics, Engineering or a related field.
- Minimum of 8-10 years of relevant experience in data science, advanced analytics and data engineering.
- At least 3 years’ experience in a leadership or team lead capacity, managing technical professionals.
- Proven experience in delivering end-to-end analytical solutions, from model design to deployment and maintenance.
- Strong time and project management skills.
- Strong analytical and problem-solving capabilities.
- Excellent leadership, communication and stakeholder management skills.
- Collaborative mindset and ability to work effectively in a cross-functional, fast-paced agile environment
- High level of initiative, accountability and attention to detail.
- Proficiency in R, Python, SQL, and distributed data technologies and data warehouse platforms e.g. Spark, Databricks, BigQuery.
- Hands-on experience with ETL/ELT tools and workflow orchestration frameworks e.g. Airflow.
- Strong understanding of machine learning frameworks e.g. scikit-learn, TensorFlow, PyTorch.
- Experience with CI/CD processes, model deployment platforms e.g. MLflow, SageMaker, Vertex AI, and containerisation (Docker, Kubernetes).
- Familiarity with AWS cloud platform and data architecture principles is advantageous.
- Understanding of MLOps and DataOps principles is advantageous.
Benefits
- Comprehensive benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Flexible work arrangements
- Competitive salary and bonuses