Data Scientist
Housing & Development BoardSingapore4 days ago
ContractEngineering
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What The Role Is
You will be part of the team that is responsible for the management of an estate management system to deliver analytics and artificial intelligence solutions across various estate management functions (i.e. facilities management, retail, and housing related issues). The data scientist distils useful insights from the wealth of collected data from various systems and modules, and translate them into actionable follow-ups for HDB to better serve our residents and stakeholders. It covers the full spectrum of HDB asset types (e.g. residential, commercial, car parks, social and communal facilities, lands).
What You Will Be Working On
Project manage, research and deploy artificial intelligence / machine learning tools and techniques to formulate practical solutions for housing, facilities and retail management for our stakeholders and to infuse practical, realistic value that will elevate our service delivery.
What We Are Looking For
We are looking for a highly motivated candidate who is resourceful and independent. You should also possess strong analytical skills as well as excellent communication and writing skills. Background in real estate, facilities management and/or geospatial analysis would be advantageous but not required.
Qualifications
The candidate should possess a relevant background (i.e. Bachelor’s, Master’s etc.) and the following skillsets/qualifications or similar training is required:
Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers
All applicants will be notified on whether they are shortlisted for the position within 4 weeks of the closing date of this job posting.
You will be part of the team that is responsible for the management of an estate management system to deliver analytics and artificial intelligence solutions across various estate management functions (i.e. facilities management, retail, and housing related issues). The data scientist distils useful insights from the wealth of collected data from various systems and modules, and translate them into actionable follow-ups for HDB to better serve our residents and stakeholders. It covers the full spectrum of HDB asset types (e.g. residential, commercial, car parks, social and communal facilities, lands).
What You Will Be Working On
Project manage, research and deploy artificial intelligence / machine learning tools and techniques to formulate practical solutions for housing, facilities and retail management for our stakeholders and to infuse practical, realistic value that will elevate our service delivery.
- Operationalise a next-generation knowledge management tool powered by large language models and other AI tools, with capabilities that extend to chatbot interactions and agentic workflows.
- Elevate the management of properties by adopting machine learning techniques to predict retail and facility management issues (e.g. deriving and automating valuation, predicting defects, forecasting termination etc.).
- Implement the end-to-end deployment of data science and business intelligence tools such as MLOps tools, dashboards, reports and system alerts to improve the productivity and efficiency of our workflow.
What We Are Looking For
We are looking for a highly motivated candidate who is resourceful and independent. You should also possess strong analytical skills as well as excellent communication and writing skills. Background in real estate, facilities management and/or geospatial analysis would be advantageous but not required.
Qualifications
The candidate should possess a relevant background (i.e. Bachelor’s, Master’s etc.) and the following skillsets/qualifications or similar training is required:
- Data Science
- Artificial Intelligence
- Computer Science
- Business Analytics
- Applied Math/ Stats/ Economics with proficient background in analytical tools such as Python, R, PowerBI etc.
Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers
All applicants will be notified on whether they are shortlisted for the position within 4 weeks of the closing date of this job posting.
Key Skills
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