Assistant Director, Data Scientist

24 hours ago

Singapore Singapore Institute of Technology Full time

Overview
Join to apply for the
Assistant Director, Data Scientist
role at
Singapore Institute of Technology .
Posting Start Date: 15/08/2025
Division: Planning, Risk and Safety
|
Schemes of Service: Corporate
|
Employment Type: Permanent
As the Assistant Director of Institutional Research and Reporting (IRR), you will lead advanced analytics and AI initiatives that shape the future of higher education. This role is pivotal in leading data initiatives, developing and operationalising predictive AI models, and providing actionable insights to support decision-making at the highest levels.
Key Responsibilities
AI Model Development and Maintenance: Design and develop advanced machine learning models and algorithms for analytics and forecasting, combining data from multiple data sets to provide business value. Conduct tests on data and AI models, deploy and continuously monitor and update models for scaling and optimal performance.
Collaborative Development of Data and AI Solutions: Partner with IT, academic leadership, and corporate leadership to align data strategy with institutional goals. Design and develop core data and AI solutions for business use cases.
Data Analysis and Insight Communication: Conduct analysis to identify trends, patterns, and deliver actionable insights that support the university's operations. Regularly present findings to senior leadership and external stakeholders, translating complex analytics into strategic recommendations.
Data Quality and Governance Support: Lead data governance initiatives and implement quality control measures to ensure compliance with policies and data integrity and accuracy.
Team Leadership and Mentorship: Develop best practices for a data analyst team and provide leadership and management for a data analyst team which may include external vendors. Provide mentorship for junior analysts.
Innovation and Best Practices: Stay current with industry trends and implement best practices in data analysis and higher education to improve effectiveness and efficiencies.
Engagement: Participate in and lead Division / Corporate activities to improve efficiencies and engagement within the division and across SIT.
Qualifications
Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's preferred.
Minimum 8 years in data analytics or data science, ideally in an educational setting. Leadership experience preferred.
Proven experience as a Data Analyst or in a similar role, preferably in an educational setting.
Strong proficiency in data analysis and visualization tools such as SQL, R, Python, and Power BI, and machine learning frameworks.
Familiarity with relevant software platforms on which the solution is deployed.
Familiarity with Machine Learning Operations (MLOps) implementation.
Strong analytical ability to interpret complex data and provide actionable insights.
Excellent communication and data storytelling skills with the ability to present and influence senior leadership.
Ability to work independently and as part of a team.
Attention to detail and a commitment to data accuracy and integrity.
Knowledge of database, ETL and data API concepts.
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