What is the role of a Data Scientist - Remote Sensing at Kpler?

The Data Scientist - Remote Sensing position at Kpler is a Full-time or part-time position opportunity in the Science field.

Where is this Data Scientist - Remote Sensing job located?

Germany, Other / Non-US, Germany

What type of employment is offered for this Data Scientist - Remote Sensing role?

Full-time or part-time position

What is the expected salary for this Data Scientist - Remote Sensing job?

Compensation will be discussed during the hiring process.

How can I apply for the Data Scientist - Remote Sensing position at Kpler?

You can apply directly through the application link provided.

Data Scientist - Remote Sensing at Kpler | Jobs and Employment

Data Scientist - Remote Sensing

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.

We build data products that transform satellite and drone imagery into reliable, operational insights at global scale. As part of our remote sensing team, you will work with multi-modal satellite dataincluding optical and SAR imagery (such as ESA Sentinel missions)while contributing to a platform that increasingly integrates multiple satellite providers and sensing modalities.This role is designed for a mid-level data scientist or remote sensing engineer who enjoys applied remote sensing, working with complex geospatial data, and seeing algorithms evolve from research into production systems.

What youll work on

Analyse and process diverse satellite imagery, leveraging both optical and SAR data sources to extract actionable insights.
Apply spatio-temporal analysis to detect, classify, and monitor physical activity and assets over time.
Design and implement methods that generalise across different satellite providers and spectral bands.
Combine multiple sensing modalities (Optical, SAR, and complementary geospatial data) to improve model reliability.
Build and improve production-grade processing pipelines for global-scale analysis.
Collaborate with engineers to integrate model outputs into APIs and customer-facing applications.
Improve model robustness, performance, and interpretability.

Responsibilities

Develop and maintain high-performance remote sensing and computer vision pipelines.
Apply machine learning, statistical, or signal-processing techniques to solve complex geospatial problems.
Contribute across the full lifecycle, from initial data exploration and research to production deployment.
Work with heterogeneous data sources and evolving data schemas.
Optimize processing performance and system scalability.
Participate in code reviews and advocate for engineering best practices.

Skills and Experience

36 years of experience in remote sensing, computer vision, or applied data science.
Strong Python proficiency and experience with geospatial libraries (e.g., rasterio, shapely, geopandas, xarray, or equivalent).
Hands-on experience working with satellite imagery, with a strong understanding of optical and/or SAR data (Sentinel-1 and Sentinel-2 experience is highly valued).
Experience with satellite time series and large-scale geospatial datasets.
Ability to deliver production-ready workflows and solid software engineering fundamentals.

Nice to have

Significant experience in general Computer Vision, including object detection, semantic segmentation, change detection, or anomaly detection.
Proficiency with CV/ML frameworks such as PyTorch, TensorFlow, or OpenCV.
Experience working with multiple commercial or open-source satellite data providers.
Experience with drone (UAV) imagery processing and advanced geometry computation (e.g., photogrammetry, coordinate transformations, or 3D reconstruction).
Knowledge of Radiometry and Radiometric Calibration.
Familiarity with data orchestration tools like Airflow.
Cloud infrastructure experience (AWS/GCP) and database knowledge (SQL/Postgres/PostGIS).

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then youve found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We buildtogether

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Dont meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they dont match 100% of the job requirements. Dont let the confidence gap stand in your way, wed love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

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

Data Scientist - Remote Sensing at Kpler – Germany

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