Data Scientist
at in Berlin

At, we are enabling Zero-Iteration Manufacturing for semiconductor and other precision manufacturing industries. Our pilot product is designed to solve the biggest problem currently facing these industries - unpredictability of production processes.

  • Berlin
  • Workspace: flexible
  • Experience: mid-level

As our first Data Scientist, you will lead the charge on building our machine learning architecture and driving insights that lead to product improvements.

You will

  • Develop and productionize state-of-the-art predictive and optimization models to solve real-world challenges using massive industrial IoT data
  • Design and test automated machine learning methodologies
  • Develop processes and pipelines to monitor and analyze model performance on multiple datasets

You should have

  • PhD in a relevant quantitative field or 3+ years of industry experience as a Data Scientist or equivalent position
  • Solid knowledge of Python and its Data Science toolkit
  • Practical experience with common classical machine learning algorithms and neural networks
  • Strong knowledge of statistics and experimental design
  • Self-motivated, detail-oriented and result-driven mindset
  • Great communication and collaboration skills

Ideally you would have:

  • Experience with generative models such as VAE or GAN
  • Experience with optimization algorithms
  • Experience incorporating simulations and expert knowledge into data-driven models
  • Experience with manufacturing process control

If changing the semiconductor industry with us sounds like an exciting opportunity, send us an email.

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