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Machine learning engineer and data scientist (venezia)

Venezia
S.A.T.E. Systems And Advanced Technologies Engineering
Data scientist
Pubblicato il 4 aprile
Descrizione

Background: nbsp;Master's degree in Computer Science, Data Science, Physics, Mathematics, or related Engineering fields with up to 5 years of experience.Activity : You will be part of a multi-disciplinary team that implements innovative AI-based and model-based software solutions for systems health monitoring, diagnostics and data mining for space and/or automotive applications.You will be supported by our team leaders in a professional growth and training path that will gradually lead you to autonomy in data analysis activities and development of models, methods and software solutions.Requirements: Excellent knowledge of advanced techniques of timeseries data analysis and modelling, including signal processing, feature extraction, Machine Learning and Deep learning applied to timeseries.Excellent knowledge of programming in high-level languages (e.g. MATLAB / SIMULINK, Python, C ++, Java); Knowledge of data mining and data cleaning techniques.Knowledge of the English language (read, written and spoken); at least level B2 (CEFR) is required Advanced knowledge of the Microsoft Office environment, in particular Word and Excel.What we offe r: · nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp;Hiring contract framed according to CCNL trade sector SME.nbsp; · nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp;Hybrid remote working options (combination of in-office and work from home) nbsp; · nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp;Opportunity to work with cutting-edge technologies, innovative technology projects and software tools development · nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp;Possibility to be involved in different projects and different fields · nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp;On-the-job training · nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp;Direct contact with innovation centers of clients and partners nbsp; · nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp; nbsp;Opportunities to grow in role and responsibilities nbsp; · nbsp; nbsp; n

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