We develop models to monitor vehicle systems. We deal with vast non-linear, multi-modal, and non-stationary time-series datasets. That means we are doing fascinating and challenging staff In this role as a senior data scientist. At Questar, you will:

  • Research, explore and apply novel approaches for anomaly detection, meta-learning, representation learning, evaluation methods, inference and predictions on large scale and complex time series data.
  • Conduct independent research which includes problem definition, research plan, experimental design, algorithm development, code implementation and robust comparison to available benchmarks.
  • Articulate your research to a technical and non-technical audience.
  • Convert research outcomes to product, collaborating with ML engineers.
  • Write scientific papers and patents.


Must Have Requirements

  • Advanced degree in computer science, physics, math, electrical engineering or similar (MSc or PhD).
  • Three years of proven experience in the data science domain (time spent as part of the Ph.D. or post-doctoral counts as well).
  • Great coding skills in Python and relevant libraries.
  • Very good knowledge in machine learning theory and implementation.
  • Very good knowledge in deep learning theory and implementation (Pytorch\Tensorflow).
  • Good knowledge in statistics (e.g. hypothesis testing)


  • Knowledge in anomaly detection
  • Knowledge in time series modelling approaches
  • Background in the automotive industry

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