The role involves designing and implementing cohesive data integration and advanced analytics solutions for mission-critical public-sector initiatives
Job Summary
The role involves designing and implementing cohesive data integration and advanced analytics solutions for mission-critical public-sector initiatives.
Candidates must manage the end-to-end analytics lifecycle from requirement gathering to model deployment and monitoring in a fast-paced environment.
This position requires Singaporean citizenship due to security clearance requirements and offers a 1-year renewable contract.
Matching Summary
Match Score: 85
The role involves designing and implementing cohesive data integration and advanced analytics solutions for mission-critical public-sector initiatives.
Skills & Requirements
Must-have
2+ years Data Science experience
AWS SageMaker proficiency required
Python frameworks (Pandas, Scikit-Learn)
Strong SQL and relational database skills
End-to-end analytics lifecycle management
Software engineering best practices
Nice-to-have
Generative AI and LLM solution experience
Data engineering and ETL pipeline exposure
Public sector or government project background
MSD Security Clearance eligibility
Agile environment adaptability
Stakeholder workshop facilitation skills
Key Requirements
Singaporean citizenship only
Bachelor's or Master's degree in CS, Math, or Statistics
Minimum 2 years of Data Analytics/Science experience
Eligibility for MSD Security Clearance (CAT 1) preferred