Level

VerkorPosted 1w ago

Senior Data Scientist

Senior Data Scientist at Verkor scores 20 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Grenoble, Auvergne-Rhône-AlpesseniorCDI / Permanent position

AI in this role

Senior Data Scientist building decision-support models and KPIs to optimize low-carbon battery manufacturing operations.

data-sciencepredictive-modelingkpisanalyticsdecision-support
Verkor is a French industrial company aiming to pioneer low-carbon battery manufacturing in France. With the backing of prominent industrial companies such as Renault Group, Plastic Omnium and Schneider Electric, Verkor intends to electrify the future of European mobility.   With over 1100 experts from 53 different countries, our endeavor is to unite exceptional global talent to bring this ambitious and innovative project to life. Our strong and agile international team continues to grow and adapt to new challenges. Based in Grenoble and Dunkirk (France), we have started operations our Verkor Innovation Centre (R&D centre and 4.0 pilot line) which is now fully running and operational.   We now focus on enabling  the successful start of production of our Gigafactory in Dunkirk (France). With this facility, our ambition is to ramp-up mass production of low carbon lithium ion batteries to facilitate the decarbonization of European mobility.    
The senior data scientist is responsible for turning data into insights, predictions and decision-support models that help the business reduce uncertainty, improve performance and scale decision making.  As senior, he/she is responsible to derive KPI’s aligned to business strategy, focus on translating the business problems, into analytical questions and build data driven solutions. 

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Skills and AI tools this role asks for

Data SciencePredictive ModelingKpisAnalyticsDecision Support

Questions you could be asked

  1. Tell me about a project where data science was part of your work. What did you do?
  2. Tell me about a project where predictive modeling was part of your work. What did you do?
  3. Tell me about a project where kpis was part of your work. What did you do?
  4. Tell me about a project where analytics was part of your work. What did you do?
  5. Tell me about a project where decision support was part of your work. What did you do?

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  • List these exact terms on your resume: Data Science, Predictive Modeling, Kpis, Analytics, and Decision Support. An applicant tracking system matches the wording, not the idea.
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