Responsibilities

We develop models to monitor vehicle systems. We deal with vast non-linear, multi-model, 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)

Advantages:

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