Full Time Data Scientist (Geospatial Team) Jobs, Salary up to SGD 8,000 in CMC-APAC PRIVATE LIMITED - Maukerja

About the Role

We are seeking a Data Scientist to join its Geospatial Team to design, develop, and deploy machine learning solutions that support long-term infrastructure planning and geospatial analytics.

You will contribute to the development of the Client's Spatial Modelling Engine, which forecasts future education demand using data such as housing growth, demographics, migration patterns, land-use plans, and accessibility. This role offers the opportunity to apply advanced machine learning and geospatial analytics to solve complex planning challenges with real-world impact.

Key Responsibilities

Requirements Analysis

• Collaborate with planners, analysts, and business stakeholders to understand long-term infrastructure and planning requirements.
• Translate business requirements into analytical and technical solutions.
• Conduct exploratory data analysis (EDA) to identify trends and generate insights.
• Recommend scalable and practical machine learning approaches.

Machine Learning Solution Design

• Design end-to-end machine learning architectures for geospatial analytics and demand forecasting.
• Define data pipelines, feature engineering strategies, and model serving frameworks.
• Develop scalable, maintainable, and auditable ML solutions suitable for long-term planning applications.

Machine Learning Development

• Develop, test, deploy, and maintain machine learning models in production.
• Build data pipelines integrating multiple data sources, including:Housing development dataDemographic dataMigration patternsLand-use plansAccessibility metrics
• Work closely with data engineers and platform teams to operationalise and monitor machine learning models.

Geospatial Analytics & Model Optimisation

• Develop predictive and spatial models for education demand forecasting.
• Apply techniques such as:Spatial regressionTime-series forecastingAgent-based modellingDeep learning
• Evaluate, validate, and continuously improve model performance and forecasting accuracy.

Requirements

Minimum Qualifications

• Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related discipline.
• Minimum 3–5 years of hands-on experience in Data Science or Machine Learning.
• Proven experience delivering machine learning models in production environments.

Required Technical Skills

Programming & Data Science

• Python
• SQL
• scikit-learn
• PyTorch
• TensorFlow

Machine Learning

• Feature engineering
• Data wrangling
• Model development
• Model evaluation
• Model deployment
• Model monitoring
• Forecasting
• Ensemble learning
• Deep learning
• Regularisation techniques

Geospatial Technologies
Experience with one or more of the following is preferred:

• GeoPandas
• QGIS
• ArcGIS
• PostGIS
• Geospatial analytics

Cloud Technologies
Experience with one or more cloud platforms:

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

Preferred Experience

Candidates with experience in any of the following will have an advantage:

• Geospatial data analytics
• Demographic modelling
• Urban planning
• Public sector analytics
• Singapore planning datasets such as URA Master Plan or HDB housing data

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and presentation skills
• Ability to explain technical concepts to non-technical stakeholders
• Strong stakeholder management and collaboration skills
• Self-motivated with the ability to work independently and as part of a cross-functional team

What We're Looking For

The ideal candidate should have:

• 3–5 years of Data Science experience
• Strong Python and SQL programming skills
• Hands-on experience developing production machine learning solutions
• Knowledge of geospatial analytics and spatial modelling
• Experience with cloud-based machine learning platforms
• A passion for applying data science to solve complex infrastructure and planning challenges