Data Scientist at Kuva Space
May no longer be active — verify on the employer site
At a glance
- Company
- Kuva Space
- Location
- Espoo, FI, Finland
- Work arrangement
- Remote
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Kuva Space job
- 🏢 Kuva Space has 2 jobs here, 2 with visa sponsorship see all
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Research, prototype and productionize ML/DL models for hyperspectral remote sensing tasks (classification, detection, segmentation, regression, anomaly detection).
- Develop image pre‑processing, radiometric/atmospheric correction, tiling and feature‑engineering pipelines for hyperspectral data.
- Build robust, testable Python codebases and training/inference pipelines (unit/integration tests, containerization, CI/CD).
- Curate and manage datasets: ingestion, labeling strategies, augmentation and metadata management for large geospatial corpora.
- Optimize model training and inference for CPU/GPU, including distributed training, batch inference and model compression when needed.
- Collaborate with product, engineering and domain experts to translate requirements into deployable analytics products and monitoring.
- Implement MLOps practices: experiment tracking, model/versioning, automated QA and model health / drift monitoring.
Requirements:
- Master’s degree (or equivalent) in Computer Science, Data Science, Remote Sensing / Geoinformatics, Electrical/Computer Engineering or related field.
- Strong Python engineering skills and hands-on experience with deep learning frameworks (PyTorch or TensorFlow).
- Practical experience with geospatial tools (GDAL, Rasterio, GeoPandas, PostGIS) and handling hyperspectral or multispectral imagery.
- Experience building data pipelines, experiment tracking and CI/CD for ML; familiarity with Docker, cloud compute or distributed frameworks (Dask, Spark) is a plus.
- Proven ability to write clean, typed code, perform model evaluation and productionize models with monitoring and QA.
Responsibilities
Design, build, and deploy machine learning solutions to extract actionable insights from hyperspectral satellite imagery. Develop computer vision algorithms and robust data pipelines for remote sensing use cases such as classification and segmentation.
Requirements
Requires a Master's degree in a technical field and strong proficiency in Python and deep learning frameworks. Must have demonstrated experience with geospatial tooling and remote sensing imagery.
Key skills
- Python — in 1200 other listings on The Stack
- Machine Learning — in 291 other listings on The Stack
- Deep Learning — in 50 other listings on The Stack
- Computer Vision — in 30 other listings on The Stack
- Remote Sensing — in 1 other listing on The Stack
- Geospatial Data Analysis — not in any other listing on The Stack
- PyTorch — in 92 other listings on The Stack
- TensorFlow — in 55 other listings on The Stack
- SQL
- GDAL
- Rasterio
- GeoPandas
- PostGIS
- MLOps
- Docker
- Linux
On The Stack (as of 2026-11-05)
Frequently asked questions about Kuva Space
Is this Data Scientist role still open?
It was posted on 2026-05-28. Listings more than 30 days old may no longer be active, so check Kuva Space's site before applying.
Does Kuva Space offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Kuva Space's site.
Where is this role located?
The listing gives the location as Espoo, FI, Finland. It is marked remote.
What skills does this role ask for?
The listing names: Python, Machine Learning, Deep Learning, Computer Vision, Remote Sensing, Geospatial Data Analysis, PyTorch, TensorFlow, SQL, GDAL, Rasterio, GeoPandas, PostGIS, MLOps, Docker, Linux.