Data Scientist/Digitalization Engineer – System Standard Parts (m/f/d)
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level Data Scientist title, metro location, and broad ML/LLM skillset drive high competition.
Requires ML/AI expertise plus aerospace/manufacturing domain knowledge, reducing cross-industry transferability.
Explicit 5–8 years requirement plus mandatory ML/LLM, Python, and cloud skills increases vetting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead digital transformation of System Standard Parts qualification processes integrating AI to optimize engineering design, verification, and validation.
Develop and implement generative AI and NLP solutions (e.g., Large Language Models) for document classification, text analysis, and information retrieval applied to unstructured technical data.
Engage with cross-functional teams to deliver data-driven insights, model evaluation, visualization, and support knowledge management aligned with Airbus digital strategy.
Minimum Requirements
Bachelor's or Master's degree in Computer Science preferred.
5-8 years professional experience in digitalization or engineering data science.
Proficiency in Python (SciPy, Scikit-learn, TensorFlow/PyTorch) and experience with statistical software (e.g., JMP, Minitab, or Python libraries).
Experience developing and deploying machine learning models in engineering or manufacturing contexts; capability with Google AppSheet and Google Cloud integrations.
Ideal Candidate Profile
Experienced in applying AI/ML to engineering data with a focus on unstructured data and LLM-based solutions in aerospace or manufacturing sectors.
Demonstrates ability to collaborate across engineering domains including Design, Certification, and Manufacturing while managing knowledge and stakeholder engagement.
Technical background or exposure to Electrical, Mechanical, or Aerospace Systems Engineering preferred, aligning with physical engineering model development and deployment.