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(Senior) Data Scientist - Full Remote

SeniorremoteRemote: Albania; Andorra; Austria; Belarus; Belgium; Bosnia and Herzegovina; Bulgaria; Croatia; Cyprus; Czechia; Denmark; Estonia; Faroe Islands; Finland; France; Germany; Gibraltar; Greece; Guernsey; Holy See (Vatican City State); Hungary; Iceland; Ireland; Isle of Man; Italy; +27 more; UTC-1 to UTC+3, BG4d ago
Market insights
📊 AI / ML / Data Science: salaries and demand on the market
Stack
agileawsazurecassandrahadooplinuxmatlabmongodbnltkpandasperlpython
Details
Experience
11+ years
English
C1, required
Practices
Agile
Education
Master's degree
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Description
Category: IT Services
Location:

For one project at a European Institution in Belgium, we’re currently looking for a Full Remote (Senior) Data Scientist. Candidates need to be based in Europe and have a workpermit. EU Candidates need to be fluent in English. This position is open for employees and freelancers.

Tasks and responsibilities:
  • Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI);
  • Training of custom machine learning / deep learning models based on structured and unstructured data;
  • Selecting features, building and optimizing classifiers using machine learning techniques;
  • Follow studies and developments aiming at improving the quality of machine translation (MT) engines for each installed language pair;
  • Interact with data stewards and other IT stakeholders to define the data rules;
  • Creating automated anomaly detection systems and constant tracking of its performance;
  • Data mining using state-of-the-art methods;
  • Processing, cleansing, and verifying the integrity of data used for analysis;
  • Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;
Profile:
  • ​
  • Master Degree in a related field with 11 years of professional experience in IT.
  • +3 years of professional experience in the domain as a Data Scientist;
  • Experience in Machine Learning and Na
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