Senior Data Scientist

hace 2 días

Madrid, Madrid, España Basf Se A tiempo completo
Job Title: Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist to join our team at BASF SE. The ideal candidate will have a strong background in developing advanced machine learning models and algorithms to solve complex problems in graph-based data analysis, computer vision, and 3D LIDAR point cloud data.

Responsibilities:
  • Develop and implement advanced machine learning models for computer vision tasks, including object detection, image segmentation, and classification.
  • Apply graph-based data analysis techniques to model and analyze complex relationships within data, such as social networks, knowledge graphs, or spatial-temporal data.
  • Process, analyze, and interpret 3D LIDAR point cloud data for various applications, including object recognition, scene reconstruction, and autonomous navigation.
  • Design and optimize algorithms for real-time processing and analysis of high-dimensional data, including image and point cloud data.
  • Collaborate with software development teams to integrate machine learning models into production systems, ensuring scalability and performance.
  • Conduct research and stay updated on the latest advancements in graph theory, computer vision, and 3D data processing, and apply these techniques to solve real-world problems.
  • Communicate complex technical concepts and results to both technical and non-technical stakeholders, ensuring alignment with business objectives.
Qualifications:
  • Ph.D. (preferred) or Master's degree in Computer Science, Data Science, Mathematics, or a related field with a focus on graph theory, computer vision, or 3D data analysis.
  • Proven track record in relevant fields such as graph machine learning, computer vision, or 3D data processing.
  • Advanced knowledge of deep learning architectures like CNNs, RNNs, GANs, and their applications in computer vision and 3D data.
  • Minimum 5 years' related working experience.
  • 5+ years of experience in data science, with a strong focus on graph-based data analysis, computer vision, and object detection techniques.
  • Extensive experience with graph theory, graph databases (e.g., Neo4j), and graph-based machine learning techniques (e.g., Graph Neural Networks).
  • Strong proficiency in computer vision techniques, including deep learning frameworks like TensorFlow, PyTorch, and OpenCV, specifically for tasks like object detection, image segmentation, and feature extraction.
  • Proven experience in developing and deploying object detection models using techniques such as YOLO, Faster R-CNN, or SSD.
  • In-depth knowledge of 3D point cloud processing, LIDAR data analysis, and related tools and libraries (e.g., PCL, Open3D).

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