Senior Map/Data Scientist

1. Geospatial Data Science & Machine Learning Development
Design, develop, and optimize Machine Learning/Deep Learning models for digital mapping, navigation, and location-based products.
Analyze geospatial datasets, including GPS trajectories, Points of Interest (POI), road networks, and traffic data, to improve map quality and user experience.
Research and develop algorithms related to:
Map Matching
Route Prediction
Estimated Time of Arrival (ETA) Prediction
Traffic Forecasting
POI Classification & Recommendation
Geospatial Clustering
2. Data Analytics & AI Solutions
Leverage large-scale datasets to identify patterns, generate insights, and support product innovation.
Define and monitor key metrics to evaluate map data quality and model performance.
Conduct advanced statistical analysis and predictive modeling to support business and product decision-making.
3. Data Pipeline & Model Deployment
Collaborate with Data Engineers to build and maintain scalable data pipelines.
Deploy, monitor, and optimize Machine Learning models in production environments.
Ensure model accuracy, reliability, scalability, and operational efficiency.
4. Cross-functional Collaboration
Work closely with Product Managers, Mapping Engineers, Backend Engineers, and AI/ML Engineers to deliver data-driven solutions.
Stay up to date with emerging technologies and best practices in Geospatial AI, Mapping Technologies, and Location Intelligence.