Data Scientist

Posted 69ds ago

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Job Description

Data Scientist developing predictive maintenance algorithms at TRACTIAN by analyzing industrial data and collaborating with engineering teams for predictive maintenance solutions.

Responsibilities:

  • Develop predictive maintenance algorithms using machine learning techniques for time-series data.
  • Analyze sensor data streams to identify patterns that predict equipment failure.
  • Research and stay up to date with academic literature and state-of-the-art condition monitoring techniques, translating relevant advances into practical solutions.
  • Collaborate with engineers to improve data pipelines and enhance model accuracy.
  • Build scalable, real-time models for low-latency predictions.
  • Create diagnostic tools that enable data-driven maintenance decisions.
  • Work with the laboratory team to design experiments and develop failure datasets using real machinery to validate hypotheses, develop new models, and optimize existing ones.
  • Continuously refine models based on real-world performance, experimental results, and feedback.

Requirements:

  • Expertise in machine learning, time-series analysis, and anomaly detection.
  • Proficiency in Python and common data science and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch).
  • Solid understanding of signal processing concepts and hands-on experience with industrial sensor data (e.g., vibration, current, temperature, pressure).
  • Ability to read, interpret, and apply insights from academic literature and state-of-the-art research in condition monitoring and fault diagnosis.
  • Experience designing experiments to validate hypotheses and benchmark models.
  • Strong problem-solving skills and ability to handle noisy, high-dimensional data.
  • Advanced English.