Data Scientist leading the NLP Squad at Telefónica Tech. Driving AI solutions and data analysis while ensuring best practices in a collaborative team environment.
MA
Onsite Data Scientist, Timeseries – Automotive
Posted 2 days ago
About the role
- Data Scientist specializing in timeseries analysis at Capgemini Engineering. Innovate with machine-learning techniques for automotive technologies.
Responsibilities
- 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
Requirements
- 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.
Benefits
- 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.
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