R&D Data Scientist (Machine learning, Data mining)

Salary City Required experience Schedule type
salary not set c. Санкт-Петербург No experience

Siemens Corporate Technology department is looking for a passionate data scientist with a solid analytical background. You should be excited with conducting data analysis in a large multinational corporation and creating data mining / machine learning assets while digging into customer’s domain area. You will be involved in state-of-the-art application of machine learning to massive datasets coming from real world engineers and end-product users, from sensors installed at water/oil supply networks and gas turbines to steel production systems and high speed trains.

What are the responsibilities?

  • Participate in development of analytic components in industrial intelligent systems for anomaly detection, predictive analytics, forecasting, signal processing
  • Dive into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of predictive models of engineering behaviors and manufacturing processes performance
  • Explore the untapped potential of big data for design, engineering and analysis tasks and devise revolutionary approaches
  • Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences
  • Apply deep learning techniques to large-scale, real-world problems
  • Fast prototyping, feasibility studies, specification and implementation of data analysis product components
  • Working with customers to understand algorithm requirements and deliver high-quality solutions

What are the requirements?

  • Degree in mathematics and/or statistics
  • Practical experience in data mining, machine learning, knowledge discovery, artificial intelligence, signal processing, time series forecasting
  • Hands-on advanced proficiency in handling and analyzing large data sets
  • Knowledge in optimal computational environment required for data processing, mining and machine learning
  • Programming languages: Python
  • Scientific publications and references or proven successful industry experience
  • Great interest and motivation for applied research
  • Upper intermediate English

Would be beneficial:

  • Experience in Deep Learning tools like - Pylearn2, Caffe, Theano, PyTorch
  • Experienced with the information technology aspects of data collection, organization, and integration
  • Experience with AWS, GCP, Azure

What do we offer?

  • Full time position
  • A-class office in the city center
  • Corporate trainings
  • Corporate medical insurance
  • Corporate pension program
  • Fitness compensation
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Siemens (ООО "Сименс")


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