Data Scientist (Timeseries) | Automotive

YOUR ROLE

We are looking for a highly skilled and motivated Data Scientist specializing in timeseries analysis to work with our AI Research team in the automotive sector. In this exciting role, you will innovate and accelerate the deployment of cutting-edge machine-learning techniques for driving and car monitoring technologies.

In this role you will play a key role in:

• Developing and implementing machine-learning models that monitor and analyze time series data in real-time for automotive applications
• Collaborating with a multidisciplinary team of researchers and engineers to ensure the integration and usability of models 
• Evaluating and adapting algorithms from the time series literature to solve complex automotive challenges
• Building experiment protocols to validate hypotheses and contributions while maintaining rigorous documentation
• Creating and supporting demonstrations using actual systems and preparing field tests for real-world validation

• Maintaining version control of code and models using Git and implementing best practices for reproducible research in automotive data projects

YOUR PROFILE

• Master's degree required (PhD preferred) in Computer Science, Physics, Engineering, or Mathematics with 3-5 years of relevant experience
• Strong expertise in Machine Learning and Deep Learning, including knowledge of classical algorithms and foundation models (large vision models, multi-modal models)
• Proven experience with time series analysis and working with large real-time datasets
• Experience in creating, tuning, and deploying deep neural networks in practical environments
• Proficiency in Python and its data science ecosystem (PyTorch, Pandas, Scikit-learn)
• Strong knowledge of Linux environments and experience with HPC (preferably AWS and Azure)
• Research-oriented mindset combined with a hands-on, practical approach to problem-solving
• Excellent communication skills with the ability to collaborate across teams and present findings effectively
• Fluent in English

What you will love about working here

• Empowering environment - Autonomy and Goal setting are among the top scores with 8,4+ ratings in our monthly employee feedback Pulse.
• FlexAbroad - Employees in 20+ countries can work abroad for up to 45 days in a 12-month period.
• Free access to learning platforms - Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
• Worldwide Leader of Engineering Services - Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleashing their R&D potential to develop smart products and services of tomorrow.