Data Scientist (m/f/d), Marseille

Airbus Group - Airbus Defence & Space

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Data Scientist (m/f/d), Marseille

CDI
Aéronautique
Ingénieur
IT / Informatique
Publiée depuis 1 jour
 

Airbus Group - Airbus Defence & Space

Airbus is a leading aircraft manufacturer with the most modern and comprehensive family of airliners on the market, ranging in capacity from 100 to more than 500 seats. Airbus champions innovative technologies and offers some of the world’s most fuel efficient and quiet aircraft. Airbus has sold over 13.800 aircraft to more than 360 customers worldwide. Airbus has achieved more than 8,000 deliveries since the first Airbus aircraft entered into service. Headquartered in Toulouse, France.

Your tasks and responsibilities

  • Collaborate with the framing team to understand business needs, business value, and data characteristics (location, quality, structure)
  • Translate business needs into actionable solutions in a timely manner
  • Scope and take ownership of datasets
  • Build and train machine learning models
  • Evaluate, fine-tune, and challenge models against agreed objectives
  • Deploy the most suitable models
  • Document work clearly and systematically
  • Perform User Acceptance Testing
  • Industrialize developed machine learning solutions

Profile

  • Master’s degree in Data Science or an AI-related field
  • Experience in data science, including machine learning/deep learning methods and libraries, and natural language processing (LLM, RNN)
  • Two years of professional experience in data science and AI
  • Agile software development and project management
  • Practical experience with Palantir Foundry, TIBCO Spotfire, Red Hat OpenShift AI, SAP Business Warehouse, Jupyter Notebook, Google Workspace, SAP ERP, Python, PySpark would be a plus
  • Fluent in German and proficient in English (negotiation level); French is a plus.
  • Soft skills: rigorous, analytical, creative, dynamic and curious, team player, autonomous
  • Open to travel to Marignane to accompany AI projects when needed (approximately twice a month)
  • Motivation to work in a hybrid environment

Apply

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