In linea con le opportunità professionali attualmente in essere, la Divisione Engineering di Modis ricerca il seguente profilo professionale:
The Data Scientist who will join the Telematics team of our Client in order to evaluate the health status and predicting the breakdowns of different components of engines.
_To exploit statistical methodologies for validation of the Machine Learning algorithms developed
by Telematics team
_ To develop and implement methods for effective visualization of both signal data sent by vehicles
and outputs of the Machine Learning algorithms
_ To effectively communicate with engine component experts from other company departments, in
order to collect their feedbacks and implement them in the fine tuning and improvement of the
Machine Learning algorithms.
_ Master Degree with a strong content of Statistics and preferably also Machine Learning.
_ Having a multidisciplinary approach: a Data Scientist must not only apply statistical methods,
but also communicate with field experts
_ Excellent knowledge of the principles behind statistical methodologies such as regression,
classification, clustering, feature extraction, dimension reduction (such as Principal
Component Analysis and Factor Analysis), resampling, etc.
_ Knowledge of the principles behind Machine Learning methods
_At least 1 year of experience in the application of statistical methods
_Good programming skills, with experience in at least one of the following languages: Python,
Matlab, R, C/C++
_Fluency English language, both verbally and in writing.
Job site: Torino.
Inglese: Parlato Buono - Scritto Buono - Comprensione Buono
Disponibilità oraria: Full Time