Data Scientist

Contenu de l'offre Data Scientist chez Faurecia

Faurecia is an Equal Opportunity Employer "Technical Perfection and automotive passion" is what defines Faurecia. We design, engineer and provide the best in technology, systems and services for automobile makers in every major market on all five continents. If you share our ambition for technical perfection and our passion for all things automotive, Faurecia has a career for you. "Faurecia, a driving force…for your professional growth."

Our GIS Division is looking for Data Scientists for its Sites either at Paris, France or Sunnyvale, CA, US.

Faurecia is one of the leaders in providing to Automotive car producers a complete architecture of full interiors, and a proven manufacturing expert. To bring even more value both to our product attractiveness and to our Manufacturing excellence, we are creating an AI/Data Science team, reporting to the Digital Transformation leader of Faurecia.

We want you to be part of this team, build it with us, prove value and contribute to its success.

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions where strategically important for Faurecia: from Automotive Mobility Experience in order to provide the right services to clients, to Manufacturing efficiency to enable our Industry 4.0 Excellence plan. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Responsibilities

Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

The ideal candidate will have/be:

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable Great communication skills, as you will be interacting with a braod range of internal experts (design, manufacturing,…) Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig

Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality

The preferred candidate will hold a PhD degree, and/or have demonstrated experience in one or all of the above domains.

Though we are looking for candidates of all levels, the ideal candidate will have worked for a leading edge computer technology company (Google, Facebook, Amazon, Baidu, other…) and/or for a blue chip technology firm (IBM, Oracle, Orange, Accenture…).

English proficiency is mandatory.

Travel will be required (from 0% to 50%, worldwide).