Data Scientist Geospatial Engineer

12 hours ago


Lahore, Punjab, Pakistan beBee Careers Full time
Senior Data Scientist Position

We are seeking an experienced Senior Data Scientist to join our team.

  • Job Summary:
  • The successful candidate will design, build, and optimize machine learning models that generate critical insights from massive geospatial datasets.

Main Responsibilities:

  • End-to-End Model Development: Research, prototype, and productionize geospatial ML models (e.g., object detection, semantic segmentation, spatial-temporal forecasting) within our 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 our core offerings.
Requirements
  • 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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