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About the job
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.
Main Responsibilities
Turns business questions into analytical and data science problems
Defines success metrics and evaluation criteria aligned with business outcomes
Analyze and explore structures and unstructured data to identify patterns, trends and anomalies
Build production grade automation workflows
Assess data quality, completeness, bias and limitations
Identify additional data sources needed to improve analysis or models
Perform data transformation for modelling purposes
Model development and validation
Interpret model results and analytical findings in business terms
Communicate findings clearly to non-technical stakeholders
Document assumptions, limitations and risks of the model
Works with operators and production/quality technicians to understand objectives, constraints and decision needs
Work with data engineers /Digital team to operationalize data preparation when needed.
Works with data scientists and CAE experts to understand the value of the project and how it links with the roadmap.
Prerequisites
Masters or PhD in Data science/ Applied mathematics/Statistics
Experience working with large-scale data sets in an industrial environment
Strong fundamentals of linear algebra, Calculus, probability and statistics.
Solid understanding of distributed systems concepts, data partitioning and parallel processing
Hand-on experience using databricks for data exploration, analysis, feature engineering and model training
Strong proficiency in Apache spark (dataframes, SQL, ML lib concepts), for large scale data processing, with hands-on experience in distributed model training using Pytorch or tensor flow.
Databricks notebooks (Python/SQL)
Experience in Knowledge Graph a plus
Strong proficiency in pandas and numpy for exploration, feature engineering and analytical workflows
English & French are both mandatory
Strong company spirit and culture settle down around our 4 values:
We promote personal initiative and give everyone the means to contribute to the company's success.
We're committed to transparent communication: we say what we think, and we mean what we say.
Everyone, in their role, is an ambassador for the company. At Verkor, success is most definitely a team sport!
We're all working towards a common goal: a sustainable future, which we're building one step at a time.
Attractive work conditions*
- Stimulating work environment: pleasant offices, multicultural and motivated team
- Lunch vouchers
- 50% of local transportation costs financed
- Industry-leading healthcare
- Opportunities to network and connect with worldwide experts
For more info on the company, please visit us at www.verkor.com
*all positions are open to individuals possessing a Recognition of the Status of Disabled Worker (RQTH)
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Source: the Verkor Lever job board. We last checked this job 6 h ago. We first saw it 2 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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