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Wiener Neudorf, full-time Data Scientist

AVILOO GmbH

flexible Full-time 1mo ago

About the role

Responsibilities

  • Work on challenging research and development problems in battery diagnostics, specifically:
    • Perform statistical analyses on EV and high-voltage battery data
    • Develop and refine machine learning methods for battery systems
    • Support the design, implementation, and testing of new diagnostic procedures
    • Build and validate models for assessing EV high-voltage batteries
    • Collaborate closely with our Battery Analytics and Data Engineering teams
    • Contribute to improving and automating our testing processes

Your profile

We welcome both experienced data scientists and recent graduates — what matters most is strong analytical thinking and a solid academic foundation. You should have:

  • A completed degree in statistics, mathematics, physics, computer science, or a comparable quantitative field (excellent academic record valued, especially for early-career applicants)
  • Solid knowledge of statistics and data analysis
  • Genuine interest in developing test and measurement procedures
  • Interest in electric vehicles and energy storage systems (lithium-ion batteries)
  • The ability to bridge theory and practice meaningfully
  • Programming skills, ideally in Python
  • Excellent English or German skills
  • An independent, structured, and precise way of working
  • Strong willingness to learn and enthusiasm for new challenges

Prior industry experience is a plus but not required — if you've graduated with strong results and a quantitative mindset, we'd like to hear from you.

Why us?

  • Work at the frontier of battery diagnostics development
  • Access to AVILOO's globally unique EV battery database
  • A central role at the heart of our Research and Data Science team
  • A dynamic team that's genuinely breaking new ground
  • The chance to drive worldwide innovation leadership in an exponentially growing market
  • Flexible working arrangements
  • Full-time or part-time (minimum 30 hours/week) — we're open to either
  • Competitive salary in an environment where performance is rewarded

Skills

Python

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