Data Scientist (Time Series Analysis) (f/m/d)

Data Scientist (Time Series Analysis) (f/m/d)

remoteFully remote | Partly remote
PublishedPublished: 20.9.2022
Full time
Mid-senior level

What you will do

  • Develop complex algorithms for industrial processes optimisation based on machine learning methods using data from real equipment;
  • Deep dive into the domain of industrial processes by studying theory with the world's leading experts;
  • Develop models using highly complex methods based on maths modelings of physical processes;
  • Analyse algorithm performance bottlenecks and propose solutions for improvement, retrofitting, and optimisation;
  • Closely work with client representatives, visit production facilities, and take an active part in business processes;
  • Prepare new algorithms for deployment and support deployment to production;
  • Monitor algorithms metrics, statistics, and performance;
  • Work in a team and collaborate with other colleagues to contribute to a common knowledge base.

Job Requirements

  • BA/MS/PhD degree in Computer Science, Physics, Math or similar;
  • Strong mathematical background in Machine Learning and Deep Learning;
  • Over 3 years of work experience in Machine Learning (time series);
  • Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;
  • Solid understanding of anomaly detection and signals processing and analysis;
  • Excellent coding skills in Python;
  • Practical knowledge of ML/DL frameworks (Scikit, PyData stack, Tensorflow, PyTorch, etc.);
  • Ability to postulate and verify research hypotheses, explain and present results.

Years of experience

  • Mid-senior level