Data Scientist (m/f/d) LOCATION Madrid COMPANY ARRK Engineering Spain, Sucursal en España CONTRACT TYPE Full-time Form of Work Hybride WHAT TO EXPECT We offer a dynamic and supportive environment that encourages continuous learning, professional growth, and technical excellence. With a flexible hybrid working model and exposure to cutting-edge research and development projects, you will play an active role in transforming emerging technologies into practical solutions for tomorrow's mobility. YOUR TASKS YOUR PROFILE Develop and implement Machine Learning solutions for Automated Driving and Advanced Driver Assistance Systems (ADAS)

Analyze and process multimodal sensor data from camera, radar, and LiDAR systems

Develop, train, and optimize Deep Learning and Computer Vision models for perception, scene understanding, and prediction tasks

Support the evaluation and integration of modern AI technologies, including Foundation Models, Vision-Language Models, Generative AI, and Edge AI

Contribute to the development of sensor fusion, perception, and environment modeling solutions for automated driving functions

Perform technology evaluations, benchmarking activities, and proof-of-concepts based on current scientific research and state-of-the‑art methodologies

Collaborate closely with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications

Continuously optimize and validate algorithms with respect to performance, robustness, scalability, and real‑time capability

Improve algorithm performance, robustness, scalability, and real‑time capabilities

Support innovation projects and help transfer emerging research concepts into practical customer solutions and industrial applications





Successfully completed degree in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field

Initial practical experience in Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses, or working student positions

Good knowledge of Python and ideally first experience with C++, Rust, or SQL

Experience with modern AI frameworks and libraries such as PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy, or Pandas

Basic understanding of modern AI methods and architectures, including Computer Vision, Foundation Models, Vision Transformers, Vision‑Language Models, Generative AI, or multimodal systems

First experience in processing and analyzing camera, radar, or LiDAR data is a plus

Familiarity with Linux, Git, Docker, cloud platforms, MLOps, Edge AI, or Embedded AI is a plus.

Passion for AI, Computer Vision, and Automated Driving technologie

Strong analytical mindset, proactive attitude, and willingness to learn

Excellent communication skills and fluency and English.

WHAT TO EXPECT We offer a dynamic and supportive environment that encourages continuous learning, professional growth, and technical excellence. With a versátil hybrid working model and exposure to cutting‑edge research and development projects,



you will play an active role in transforming emerging technologies into practical solutions for tomorrow's mobility. YOUR TASKS Develop and implement Machine Learning solutions for Automated Driving and Advanced Driver Assistance Systems (ADAS)

Analyze and process multimodal sensor data from camera, radar, and LiDAR systems

Develop, train, and optimize Deep Learning and Computer Vision models for perception, scene understanding, and prediction tasks

Support the evaluation and integration of modern AI technologies, including Foundation Models, Vision‑Language Models, Generative AI, and Edge AI

Contribute to the development of sensor fusion, perception, and environment modeling solutions for automated driving functions

Perform technology evaluations, benchmarking activities, and proof‑of‑concepts based on current scientific research and state‑of‑the‑art methodologies

Collaborate closely with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications

Continuously optimize and validate algorithms with respect to performance, robustness, scalability, and real‑time capability

Improve algorithm performance, robustness, scalability, and real‑time capabilities

Support innovation projects and help transfer emerging research concepts into practical customer solutions and industrial applications

YOUR PROFILE Successfully completed degree in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field

Initial practical experience in Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses

📌 Data Scientist (Madrid)
🏢 ARRK Engineering
📍 Madrid