
Senior Geospatial AI Data Analyst
2 days ago
We are seeking an experienced Data Scientist to join our team, focused on leveraging geospatial AI techniques to drive business value.
This is a key opportunity for an accomplished data scientist with a proven track record of developing and deploying machine learning models in complex environments.
- Job Description:
- To design, build, and optimize geospatial machine learning models that generate critical insights from massive datasets, ensuring fast, data-driven decisions in complex environments.
- End-to-End Model Development: Research, prototype, and productionize geospatial ML models (e.g., object detection, semantic segmentation, spatial-temporal forecasting) within generative AI pipelines.
- Data Pipeline Ownership: Work with diverse geospatial data—satellite imagery, mobility data, sensor feeds—to continually refine data ingestion, cleaning, and feature engineering processes.
- Platform Integration: Collaborate with software engineers to incorporate novel AI algorithms into the platform, ensuring solutions scale and perform reliably for enterprise customers.
- Advanced Analytics: Drive insight generation through advanced geospatial analysis, anomaly detection, and scenario modeling to address real-world problems in real estate, infrastructure, or municipal planning.
- Cross-Functional Collaboration: Partner with our Product and UX teams to translate client needs into high-value models and interactive features on the platform.
- Research & Innovation: Stay current on cutting-edge AI techniques (e.g., generative AI, foundation models), and continuously evaluate new data sources, libraries, and frameworks to enhance core offerings.
To succeed in this role, you will need:
- 5+ years of professional data science or machine learning experience, with a strong focus on geospatial analytics (2+ years).
- Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn); familiarity with geospatial libraries (e.g., GeoPandas, GDAL, PostGIS).
- Demonstrated success building and deploying geospatial ML solutions—object detection on satellite imagery, route optimization, population density forecasting, etc.
- Experience with Generative AI or large-scale AI deployments is a significant plus.
- Ability to translate complex analytical approaches into actionable business insights for non-technical stakeholders.
- A passion for using data to solve challenges in urban planning, infrastructure, or sustainable development.
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