M06 - Data Scientist
Develop end-to-end machine learning solutions for geospatial analytics and demand forecasting
Collaborate with planners and stakeholders to translate business requirements into scalable data science solutions. Design and deploy machine learning models for geospatial analytics and education demand forecasting using demographic, housing, migration, land-use, and accessibility datasets. Build and manage data pipelines, optimize model performance, and ensure solutions are scalable, maintainable, and auditable for long-term planning.
Why This Role?
Work on geospatial analytics and demand forecasting with real-world urban planning impact
Key Responsibilities
- Collaborate with planners and stakeholders to understand business requirements and translate them into data science solutions
- Conduct exploratory data analysis to uncover insights and inform solution design
- Design end-to-end machine learning architectures for geospatial analytics and demand forecasting
- Develop, test, deploy, and maintain machine learning models in production environments
- Build and manage data pipelines integrating demographic, housing, migration, land-use, and accessibility datasets
- Continuously evaluate model performance, validate predictions, and optimize forecasting accuracy
Requirements
- Minimum 3–5 years of hands-on experience in Data Science, Machine Learning, or a related field
- Proven experience delivering production-grade machine learning solutions
- Experience working with geospatial data
- Strong proficiency in Python and machine learning libraries such as Scikit-learn, PyTorch, or TensorFlow
- Strong SQL skills for data querying and transformation
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
Required Skills
View Excerpt — Full Description at Manatal Career PagesShow more
Read the full description at Manatal Career Pages
Overview Responsibilities Requirements Analysis & Solution Design Collaborate with planners, analysts, and stakeholders to understand business requirements and translate them into scalable data science solutions. Conduct exploratory data analysis to uncover insights and inform solution design.…
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