Senior Data Scientist

hace 2 meses


Madrid, España Basf Se A tiempo completo

.Senior Data Scientist (Graph Expertise & Computer Vision) (m/f/d) WHAT YOU CAN EXPECT We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in graph-based data analysis, computer vision, object detection, and 3D LIDAR point cloud data. The ideal candidate will have a strong background in developing advanced machine learning models and algorithms to solve complex problems in these domains. You will work closely with cross-functional teams, including data engineers, software developers, and domain experts, to drive innovative solutions that leverage cutting-edge technologies.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, analyse, 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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