F1 Data Scientist: Real-Time Analytics & Multimodal ML

FEDERATION INTERNATIONALE DE L'AUTOMOBILE

Vernier

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

The FIA in Geneva (1214 Vernier) seeks a Data Scientist to design, test and deploy data solutions that transform raw motorsport data into actionable insights. You will work with telemetry time series, images, and regulatory documents across championships to build tools that support real-time decisions trackside.

You will own the end-to-end product life cycle from PoC to production, collaborate with the Data Intelligence group, and advance MLOps and analytics tool suites to enhance on-track and

Qualifikationen

  • Master's degree or equivalent in CS/DS or ML field.
  • Extensive Python software development experience.
  • Proficient with pandas, numpy, PySpark.
  • Experience with ML frameworks: scikit-learn, SciPy, XGBoost, PyTorch.
  • Experience with ML lifecycle and MLOps (MLFlow or similar).
  • CI/CD and containerization (Docker).
  • SQL and NoSQL databases.
  • Ability to learn, work autonomously, adapt to change.
  • Fluent in English; French appreciated.

Aufgaben

  • Design, test and deploy data solutions transforming raw motorsport data.
  • Develop ML models and analytics tools for decision-making.
  • Advance FIA data analytics tool suite for real-time support.
  • Build robust MLOps solutions for scalability and reliability.
  • Collaborate with Data Intelligence group across championships.

Kenntnisse

Python
Pandas/Numpy
PySpark
ML/Deep Learning
ML lifecycle
MLOps (MLFlow)
CI/CD
Docker
SQL/NoSQL
Teamwork
English fluency

Ausbildung

Master's degree or equivalent

Tools

Docker
MLFlow
Sklearn
SciPy
XGBoost
PyTorch

Jobbeschreibung

The FIA in Geneva (1214 Vernier) seeks a Data Scientist to design, test and deploy data solutions that transform raw motorsport data into actionable insights. You will work with telemetry time series, images, and regulatory documents across championships to build tools that support real-time decisions trackside.

You will own the end-to-end product life cycle from PoC to production, collaborate with the Data Intelligence group, and advance MLOps and analytics tool suites to enhance on-track and

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