Minor Hotels Europe and Americas

Data Scientist, Timeseries – Automotive

Minor Hotels Europe and Americas

full-time

Posted on:

Location Type: Office

Location: Diegem • Belgium

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Tech Stack

AWSAzureLinuxPandasPythonPyTorchScikit-Learn

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningDeep Learningtime series analysisdeep neural networksPythonPyTorchPandasScikit-learnLinuxHPC
Soft Skills
collaborationcommunicationproblem-solvingresearch-oriented mindsethands-on approach
Certifications
Master's degreePhD