M01 - Data Scientist

We are seeking a skilled Data Scientist, with the ability to get things done. The successful candidate will have the opportunity to wrangle with big data from digital app and wearable signals and play a pivotal role in developing, implementing, and deploying artificial intelligence (AI) solutions leveraging the big data collected to enhance citizens empowerment and drive greater workplace productivity.

What Youll Do

AI Solution Development

• Conduct exploratory data analysis to extract insights and patterns that inform AI model design and development
• Perform data cleaning, validation, and transformation (feature engineering) required by AI models
• Design, develop, and evaluate AI models to address specific business needs

AI Deployment and Operations

• Deploy AI models into production environments, ensuring scalability, reliability, and performance
• Implement and maintain model monitoring systems to track performance metrics and identify when models require retraining or adjustment.
• Maintain reusable central feature store for AI model training and deployment
• Implement automated pipelines for model training, validation, and deployment, adopting fit-for-purpose industry practices

Stakeholder Engagement

• Collaborate with cross-functional teams (e.g. data engineers, IT consultants, business users) to achieve project outcome
• Present outputs from business analyses to HPB stakeholders, to translate data-driven insights into programme design and delivery

Qualifications

• Minimum 3 years of working experience in data science or developing AI/ML, including experience wrangling data in cloud-based analytics platforms and tools (e.g. Microsoft Azure, Databricks, Spark Ecosystems)
• Must be proficient in Python and possess adeptness with large-scale datasets.
• Bachelor / Master / PhD in Analytics, AI / Data Science, Computer Science, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognised university.
  • Professional certifications in business analytics / data science / ML engineering from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position
• Adaptive in a fast-paced matrix environment, overseeing multiple projects concurrently within an agile environment
• Possesses strong problem resolution, attention to detail and effective communication skills to manage and deliver complex projects involving internal and external stakeholders