Senior Data Scientist (Graph Expertise & Computer Vision) (m/f/d)

ABOUT US

At BASF Digital Hub Madrid we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF´s position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error and great people working and learning together. Become part of our team and develop the future with us – in a global team that embraces diversity and equal opportunities.

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).
• 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.

NICE TO HAVE

• Strong programming skills in Python, with experience in C++ or other relevant languages being a plus.
• Experience with cloud-based machine learning services and infrastructure, particularly on Azure.
• Proficient in Git and experience with collaborative coding practices.
• Experience working in Agile/Scrum environments, with a focus on delivering high-quality results in iterative cycles.

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)
• 2 cultural days
• A collaborative, trustful and innovative work environment
• Being part of an international team and work in global projects
• Relocation assistance to Madrid provided

At BASF, the chemistry is right.

Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us – in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.