Join us and be a pioneer for a green transport revolution.
Automotive Cells Company (ACC) is one of Europe’s newest and most exciting high-tech companies. Backed by Saft-Total, Stellantis-Opel and Mercedes-Benz, ACC is set to power the future of the automotive industry by innovating in battery technology.
We aim to produce sustainable, affordable, high-capacity, longer-life batteries as a cleaner alternative to current energy sources. We create an R&D center and new state-of-the art facility in France (New Aquitaine), with gigafactories to be built in Hauts de France and Germany.
We need a range of skilled and agile people to bring our vision to life, especially in the areas of industrialization, mechanical design, testing/prototyping and any other function of a new-born company. If you’re looking to take your career further than you imagined, if you’re passionate about creating cleaner transport, we’d like to hear from you.
Accelerating sustainable mobility for all.
The Data Scientist is directly in charge of Data Analysis requested by any department.
Also He/she communicates with the Data Scientist community of the other business units (Industrial, HR, Finance...) in order to exchange best practices in terms of data analysis and exploitation and thus capitalize on them within the ACC global Data Lake.
· Identify the needs and the problem, define the indicators and the data to be recovered. Ensure that the problem is consistent with VAC's Data strategy and is feasible.
· Select and collect the data needed to answer the problem: is able to locate, sort and select the necessary data, clean it and prepare it for analysis but also store and classify it correctly in the ACC global Data Lake repository.
· Create algorithms and statistical models to answer the problem.
· Valuate the data using the algorithms and models previously created to address the problem.
· Analyze the results of the valuations and make them usable and accessible in the global ACC Data Lake.
· Supervise and continuously improve the existing algorithms and statistical models.
· Industrialize the data analysis process through the industrialization of these algorithms and statistical models.
Knowledge / Know how
You master the exploration and exploitation of data via SQL queries.
Mastery of data visualization tools: Tableau, Qlick, PowerBI.
Knowledge of Python, R and associated ML/AI libraries: numpy, panda, scikit learn, tensorflow, matplotlib.
Ability to manage a data project (define objectives, mobilize stakeholders, propose appropriate solutions...).
Ability to propose improvements in the field of data.
Experience
At least 5 years minimum of experience in Data Science with concrete project examples and win
Qualifications
BAC + 5, English mastered
Key behaviours
Ability to analyze and synthesize.
Ability to dialogue with different stakeholders.
Rigor in data processing.
Creativity in creating new solutions.
Sense of responsibility.
Some extra skills which make the difference
To be a force of proposal internally in order to create a real dynamic of data valorization.
Want to move the way we move ?