Senior Data Scientist
hace 3 semanas
At Basf Se, we are seeking a highly skilled and experienced Senior Data Scientist to join our team and drive innovative solutions that leverage cutting-edge technologies in graph-based data analysis, computer vision, 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.
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).
- Proficiency in machine learning algorithms, model evaluation, and optimization techniques, with experience in handling large-scale datasets.
- Experience with big data technologies and frameworks for processing large datasets.
Benefits
- A secure work environment because your health, safety, and wellbeing is always our top priority.
- Flexible work schedule and Home-office options, so that you can balance your working life and private life.
- Learning and development opportunities.
- 23 holiday days per year.
- 5 additional days (readjustment).
- A collaborative, trustful, and innovative work environment.
- Being part of an international team and work in global projects.
- Relocation assistance to Madrid provided.
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