Geospatial Insights Developer

2 days ago

Lahore, Punjab, Pakistan beBeeDataScientist Full time 4,500,000 - 6,000,000
Job Title: Senior Data Scientist

We are seeking a skilled Senior Data Scientist to join our Geospatial AI team. As a key member of our team, you will design, build, and optimize machine learning models that generate critical insights from massive geospatial datasets.

You'll collaborate closely with our AI researchers, platform engineers, and product teams to integrate high-impact ML solutions directly into our flagship intelligence platform, ensuring our clients can make fast, data-driven decisions in complex environments.

Key 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:
  • Data Science Experience: 5+ years of professional experience in data science or machine learning, with a strong focus on geospatial analytics.
  • Technical Skills: Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn); familiarity with geospatial libraries (e.g., GeoPandas, GDAL, PostGIS).
  • Success Stories: Demonstrated success building and deploying geospatial ML solutions—object detection on satellite imagery, route optimization, population density forecasting, etc.
  • Additional Skills: Experience with Generative AI or large-scale AI deployments is a significant plus.
  • Business Acumen: Ability to translate complex analytical approaches into actionable business insights for non-technical stakeholders.
  • Passion for Impact: A passion for using data to solve challenges in urban planning, infrastructure, or sustainable development.

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