IOTA GROUP is hiring a Junior Data Scientist

About the Role

IOTA GROUP is looking for a Junior Data Scientist to design, build, and maintain robust data pipelines for complex geospatial and 3D data. Your contributions will directly impact the delivery of innovative solutions to enterprise clients.

What You'll Do

  • Design, develop, and maintain scalable and reliable data pipelines for ingesting, processing, and transforming large volumes of complex data, particularly geospatial and 3D datasets.
  • Work with cloud-native solutions to analyse massive datasets efficiently.
  • Contribute to the continuous improvement of machine learning engineering practices.
  • Troubleshoot and resolve data-related issues in a timely manner.

What We're Looking For

  • A Master's degree level/M2 or equivalent background in programming, mathematics, and algorithms.
  • Mastery of Python, particularly scientific libraries like Numpy, Pandas, OpenCV, and Scikit-Learn.
  • Strong theoretical and applied skills in computer vision and 3D geometry, including 3D reconstruction, constrained optimization, morphology, and clustering.
  • Solid knowledge of Deep Learning and general Machine Learning, with experience in specific computer vision tasks (semantic segmentation, object detection, image classification) and PyTorch.
  • Familiarity with Unix/Linux environments and Git.
  • French and English written and oral proficiency.

Nice to Have

  • Knowledge of GIS/remote sensing tools for data georeferencing, such as GDAL, QGIS, geopandas, or rasterio.

Technical Stack

  • Languages & Core: Python
  • Data Science Libraries: Numpy, Pandas, OpenCV, Scikit-Learn, geopandas, rasterio
  • Deep Learning: PyTorch
  • GIS Tools: GDAL, QGIS
  • Development & Environment: Git, Unix/Linux

Team & Environment

You will join a collaborative, innovative, and fast-paced environment where technical excellence and continuous learning are highly valued.

Required Skills
PythonNumpyPandasOpenCVScikit-LearnGDALQGISgeopandasrasterioPyTorchMachine LearningGeospatial AnalysisData Processing
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About company
IOTA GROUP

Description de l'entreprise: Leading enterprise AI software company that empowers organizations to accelerate their digital transformation by harnessing the power of visual intelligence. Their cutting-edge platform enables customers across various industries (such as Energy, Grid Infrastructure, Environment, Manufacturing, and more) to efficiently manage, analyze, and operationalize vast amounts of visual data (images, videos, Lidar, etc.). By combining computer vision, geospatial analysis, and artificial intelligence, they help businesses build and deploy AI applications at scale, turning complex data into actionable insights and tangible business outcomes. They foster a collaborative, innovative, and fast-paced environment where technical excellence and continuous learning are highly valued. Description du poste: Our client is seeking a talented and passionate Junior Data Scientist to join our dynamic team. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines specializing in complex geospatial and 3D data. Your contributions will directly impact our ability to deliver innovative solutions to our enterprise clients.Responsabilities🏗 Design, develop, and maintain scalable and reliable data pipelines for ingesting, processing, and transforming large volumes of complex data, particularly geospatial and 3D datasets.☁ Work with cloud-native solutions to analyse massive datasets efficiently🚀 Contribute to the continuous improvement of our machine learning engineering practices.📊 Troubleshoot and resolve data-related issues in a timely manner. Qualifications: 🎓 Education: Background in programming, mathematics, and algorithms (Master's degree level/M2 or equivalent).🐍 Python Proficiency: Mastery of Python, particularly scientific libraries (Numpy, Pandas, OpenCV, Scikit-Learn, etc.).🧊 Computer Vision & 3D: Strong theoretical and applied skills in computer vision and 3D geometry (3D reconstruction, constrained optimization, morphology, clustering, etc.).🗺 GIS & Remote Sensing: Knowledge of GIS/remote sensing tools for data georeferencing is highly appreciated (GDAL, QGIS, geopandas, rasterio).🧠 Deep Learning: Solid knowledge of Deep Learning and general Machine Learning, with experience in specific computer vision tasks (semantic segmentation, object detection, image classification) and PyTorch (or equivalent).🐧 System & Version Control: Familiarity with Unix/Linux environments and Git.🗣 Language: French and English written and oral proficiency Informations supplémentaires: Duration: 3 to 12 months with possible recruitment.

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Posted a month ago