全职 Data Scientist (Geospatial) 工作, 薪水, Tap Growth Ai 公司招聘中 - Ricebowl

 We’re Hiring: Data Scientist (Geospatial)

We are seeking a Data Scientist to join a geospatial team at the forefront of spatial modelling and long-term education planning in Singapore. In this role, you will architect and deploy machine learning solutions that forecast future demand, optimise infrastructure decisions, and turn diverse datasets into evidence-based insights. If you thrive at the intersection of data science, geospatial analytics, and public sector impact, we would like to hear from you.

Location: Singapore, Singapore

Monthly Salary (SGD)$8,000 to $8,400

• Partner with planners, analysts, and business stakeholders to identify long-term infrastructure and space-planning needs.
• Convert complex operational requirements into clear analytical specifications and scalable technical solutions.
• Perform exploratory analysis on spatial, demographic, housing, migration, land-use, and accessibility datasets to uncover planning insights.
• Architect end-to-end machine learning solutions for geospatial analytics and education-demand forecasting.
• Establish reliable data pipelines, feature-engineering workflows, and model-serving frameworks that support production use.
• Create, test, and operationalise predictive models and geospatial analytics solutions within cloud-based environments.
• Integrate data from multiple internal and external sources while maintaining data quality, consistency, and traceability.
• Leverage spatial regression, time-series forecasting, agent-based modelling, ensemble methods, or deep learning based on project requirements.
• Assess model performance against observed outcomes and enhance modelling approaches to improve forecast accuracy and reliability.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders while coordinating with engineering and platform teams.
  
  

• Bachelor’s degree in Data Science, Computer Science, Statistics, Geospatial Science, Mathematics, or a related discipline.
• At least 3–5 years of hands-on experience in data science or a related field, including delivering machine learning solutions in production.
• Strong proficiency in Python, SQL, and data science frameworks such as scikit-learn, PyTorch, or TensorFlow.
• Experience with the full machine learning lifecycle and cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure; familiarity with GeoPandas, QGIS, PostGIS, or ArcGIS is advantageous.
• Strong analytical, communication, and stakeholder-management skills, with the ability to contribute effectively in cross-functional teams; exposure to demographic modelling, urban planning, public-sector analytics, or Singapore planning datasets is preferred.