Data Scientist – Remote Sensing
Kpler
full-time
Posted on:
Location Type: Remote
Location: Germany
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Tech Stack
About the role
- Analyse and process SAR 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 generalise across different satellite providers.
- Combine SAR with complementary data sources where relevant.
- 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.
- 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.
Benefits
- Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements.
- Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
- By applying, I confirm that I have read and accept the Staff Privacy Notice
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSAR dataspatio-temporal analysismachine learningstatistical techniquessignal-processing techniquesremote sensingcomputer visionproduction-grade processing pipelinessoftware engineering fundamentals
Soft Skills
collaborationproblem-solvingcommunicationcode reviewadaptability