Head of Data Analytics and AI F/M

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.

The Head of Data Analytics and AI leads our central data engineers’ team and is directly reporting to the Group Chief Data Officer.

The main missions for the team he/she is leading are:
1.      Provide data analysis, data mining, data correlations for all business lines of the group.
2.      Federate business intelligence requirements, validate specifications and create standardized dashboards and visualizations
3.      Generate value using machine learning and artificial intelligence and prepare digital tools that are easy to understand by business experts
4.      Organize technology scouting for ML and AI
5.      Animate the technical policies aligning and federating business data owners, IS/IT team, external partners to get the maximal value for ACC.
6.      Lead, recruit and rise the collective knowledge of the team and participate to trainings and acculturation actions within ACC.

Experience

• Recognized track as manager in data environment
• At least 5 years of experience in Data Science with concrete project examples and wins using time series, computer vision, automatic defect classification, drift analysis, multivariate analysis…
• Knowledge of programming languages (Python or R)
• Hands-on experience with BI tools such as PowerBI, Tableau, Spotfire, Qlik
• Specific knowledge on ML/AI libraries: NumPy, panda, scikit learn, TensorFlow, keras, matplotlib
• Knowledge on Databricks, Spark ML and at least one ML Platform (example Dataiku, Datarobots..)
• Ability to manage a data project (define objectives, mobilize stakeholders, propose solutions...)

 
Qualifications

• Degree in Computer Science, IT, or similar field
• A complementary data science or AI certification is a plus

Key behaviors

• To succeed in this position, you should have strong analytical skills, ability to synthetize complex problems and to convince with facts and in a simple and actionable way.
• If you are leader and customer oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.