Data Scientist/digitalization Engineer – Materials & Processe

Universidad Carlos III de Madrid

Bangalore, India
On-site
Data strategy implementation
Machine learning model development
Digital twins of materials
We aim to move from traditional empirical testing to a data-driven "Materials 4.0" approach where data science, high-fidelity simulations, and AI converge to design our future components that are sustainable, high-performing, and digitally mastered from lab to flight

Job Summary

  • We aim to move from traditional empirical testing to a data-driven "Materials 4.0" approach where data science, high-fidelity simulations, and AI converge to design our future components that are sustainable, high-performing, and digitally mastered from lab to flight.
  • You will be the bridge between the physical laboratory and the digital world, using AI/ML to predict material behavior, Simulation to virtually validate processes, and Google Workspace infrastructure to create agile, professional-grade tools for our global engineering community.
  • A diverse and international team cross collaborating and supported by an agile and open-minded management team.

Matching Summary

We aim to move from traditional empirical testing to a data-driven "Materials 4.0" approach where data science, high-fidelity simulations, and AI converge to design our future components that are sustainable, high-performing, and digitally mastered from lab to flight.

Skills & Requirements

Must-have

  • Data strategy implementation
  • Machine learning model development
  • Digital Twins of materials
  • Advanced Design of Experiments
  • Google AppSheet and Apps Script development
  • International R&D project leadership

Nice-to-have

  • Agile and open-minded management
  • Continuous growth and professional training
  • Collaboration with universities and suppliers
  • Strong communication for diverse stakeholders

Key Requirements

  • Master’s degree or PhD in Material/Mechanical/Aerospace Engineering or equivalent
  • 5-8 years of professional experience
  • Expert in Design of Experiments (DoE)
  • Proven track record in developing and deploying Machine Learning models
  • Proficiency in Python and JavaScript/Apps Script
  • Experience with material/process simulation tools
  • Capability in building enterprise-level solutions with Google AppSheet

Work Rights

Not specified

Tailored Resume

Cover Letter