Data Scientist - Alternance

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 analysis requested by any department. 

He/she communicates with the Data Scientist community of 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 Platform. 

Your Main Missions as a Data Scientist will be:

• Understand the requirements and collecting necessary data to generate insights 
• Transform the data into an appropriate format to run the required analysis 
• Select and collect the data needed to answer the problem, 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. 
• Generate data insights 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. 
• Report the results efficiently insisting on insights more than technicity

Know How

• You master the exploration and exploitation of data via SQL queries. 
• Mastery of Python and associated ML/AI libraries: numpy, panda, scikit learn, tensorflow, keras, matplotlib, dash, streamlit.
• Knowledge of Databricks, Spark ML and optionally at least one ML Platform (example Dataiku, Datarobots) 
• Ability to manage a data project (define objectives, mobilize stakeholders, propose appropriate solutions...). 
• Ability to propose improvements in the field of data. 

Experience

Experience with internships or academic projects on data science use cases with a good understanding of both technical and business issues.

Qualification

BAC + 3 in Computer Science, Applied mathematics, or any quantitative field with a strong background of data science. English mastered 

Key behaviour

• Ability to communicate complex data in a simple, actionable way 
• Ability to visualize data in the most effective way possible for a given project or study 
• Analytical and problem-solving skills 
• Experience with machine learning and AI 
• Familiarity with data management tools 
• Ability to work independently and with team members from different backgrounds 
• Excellent attention to detail 

Some extra skills which could make a difference

To be a force of proposal internally in order to create a real dynamic of data valorization.