Data Scientist (Remote Sensing, AI/ML)

TL;DR

Data Scientist (Remote Sensing, AI/ML): Building and optimizing data products that transform satellite imagery into reliable, operational insights at global scale with an accent on SAR and optical imagery processing and geospatial analysis. Focus on designing methods that generalize across different satellite providers and evolving algorithms from research into production systems.

Location: Remote

Company

hirify.global is a global company founded in 2014, dedicated to simplifying global trade information and providing valuable insights in commodities, energy, and maritime sectors through user-friendly platforms.

What you will do

• Analyze and process SAR and optical satellite imagery, with Sentinel-1 as a key data source.
• Apply spatio-temporal analysis to detect, classify, and monitor physical activity and assets over time.
• Design methods that generalize across different satellite providers and combine complementary data sources.
• Build and improve production-grade processing pipelines.
• Collaborate with engineers to integrate outputs into APIs and customer-facing applications.
• Improve model robustness, performance, and interpretability.

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.

Nice to have

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

Culture & Benefits

• Committed to providing a fair, inclusive, and diverse work environment with 700 experts from 35+ countries.
• Values decisive action, collaborative building, and supportive accessibility to colleagues and clients.
• Encourages applications even if candidates don't meet every single requirement.
• Dedicated to adding new perspectives to the team and fostering continuous innovation.