Data Scientist - Remote Sensing

Responsibilities

• Develop and maintain remote sensing and computer vision pipelines.
• Apply machine learning, statistical, or signal-processing techniques.
• Contribute across the full lifecycle from exploration to production.
• Work with heterogeneous data sources and evolving schemas.
• Improve processing performance and scalability.
• Participate in code reviews and engineering best practices.

Requirements

• 3–6 years of experience in remote sensing or applied data science.
• Strong Python proficiency.
• Hands-on experience with SAR data (Sentinel-1 strongly preferred).
• Experience with satellite time series and geospatial data.
• Familiarity with rasterio, shapely, geopandas, xarray, or equivalent.
• Ability to deliver production-ready workflows.
• Solid software engineering fundamentals.

Preferred Qualifications

• Experience with ESA Sentinel missions.
• Exposure to change detection, object detection, or anomaly detection.
• Experience with multiple satellite data providers.
• Familiarity with Airflow or similar tools.
• CV / ML frameworks (OpenCV, PyTorch, TensorFlow).
• Cloud experience and SQL/Postgres.

Benefits

About the Company

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.