Job description

What the role is

The mission of Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB aims to be data-driven to the core and adopt evidence-based decision making in developing better housing policies service, improving service delivery and optimising operations.

What you will be working on

As a data scientist, you will play a key part in helping HDB begin its journey to be data-driven to the core. In this role, you will assume the following responsibilities: • Provide guidance to business units on data science and how it may help them • Conceptualise and execute data science projects for business units • Apply analytical techniques such as data mining, statistical analysis, machine learning etc • Develop actionable insights and present them clearly and in an easy-to-understand manner • Develop machine learning models • Work with IT units to operationalise data science projects e.g. deploy ML models • Identity opportunities to improve data science projects • Document, share and continuously improve data science practices • Certain degree of stakeholder management is required

What we are looking for

• Relevant experience or background in Economics, Statistics, Mathematics, Operation Research, Information Systems (IS), Computer Science or related field in a reputed institution. • Experience executing data science projects • Experience applying analytical techniques such as data mining, statistical analysis, machine learning etc • Proficient in analytical tools such as R, Python, etc • Proficiency in business intelligence tools such as SAS VA is advantageous • Knowledge in data warehouse concepts and design is a plus • Strong analytical, project management and organization skills • Possess an eagerness to learn and impart new skills • Be a good team player Fresh graduates are welcomed.
All applicants will be notified on whether they are shortlisted for the position within 4 weeks of the closing date of this job posting.

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