Data Scientist - Aspach-le-Haut, France - John Cockerill

John Cockerill

Entreprise vérifiée

Aspach-le-Haut, France

il y a 1 semaine

Posté par:

Sophie Dupont

beBee Recruiter

Description

Context of the opportunity:

About John Cockerill Hydrogen

As an answer to the challenge of energy transition, John Cockerill has set up a joint venture in China for the design, manufacturing and installation of pressurized alkaline electrolyzers.

As a matter of fact, John Cockerill is the world leader in the delivery of electrolyzers for the large-scale production of green hydrogen with more than 200 MW delivered in 2021.

John Cockerill Hydrogen offers the opportunity to get in touch with the very concrete, very technical aspects of the projects but also the opportunity to be creative and to propose innovative solutions
Do you want to take up the challenge?

Then welcome on board as our next
Data Scientist

Nature & scope:

Within the Research & Innovation department in the Hydrogen Business Line, you contribute to the development of innovative solutions in line with the product and technology roadmaps.

More specifically, We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our technology development.

We will rely on you to build data products to extract valuable technological insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
Your goal will be to help our company analyze trends to make better decisions to boost research activities. You will have an impact on the core technology of our alkaline electrolyzers.

Main responsibilities:

Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams

Profile:

Technical competencies

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
PL300 certification or equivalent
Proven experience as a Data Scientist or Data Analyst
Experience in data mining
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Knowledge of database is an asset: ODB, etc.
Good level in ETL and Visualisation software like PowerQuery & PowerBI
Excellent verbal and written command of English and French
Strong math skills (e.g. statistics, algebra)
Understanding of machinelearning and operations research

Skills

Analytical, team player, problemsolver, handson, and autonomous
Ability to define and stick to a planning, and to work on several projects in parallel
Excellent interpersonal communication skills