Data Science Leader for Graph-Based Analysis and Computer Vision
hace 1 semana
About Us
BASF Digital Hub Madrid is a hub for innovative digital solutions, driving business growth and efficiency through creativity and collaboration. Our team of experts develops cutting-edge technologies to strengthen BASF's position as a digital leader in the chemical industry.
What You Can Expect
We are seeking an experienced Senior Data Scientist with deep expertise 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. You will work closely with cross-functional teams 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, and graph-based machine learning techniques.
- Strong proficiency in computer vision techniques, including deep learning frameworks like TensorFlow, PyTorch, and OpenCV.
- 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.
- Proficiency in machine learning algorithms, model evaluation, and optimization techniques, with experience in handling large-scale datasets.
Benefits
- A secure work environment prioritizing health, safety, and wellbeing.
- Flexible work schedule and home-office options to balance working life and private life.
- Learning and development opportunities.
- 23 holiday days per year.
- 5 additional days off.
- 2 cultural days.
- A collaborative, trustful, and innovative work environment.
- International teamwork and global projects.
- Relocation assistance to Madrid provided.
Estimated Salary: €120,000 - €150,000 per annum, depending on qualifications and experience. This salary range reflects the market rate for a Senior Data Scientist with the required skills and qualifications in the Madrid area.
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