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Data Science at TRACTIAN The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. Using advanced statistical methods, algorithms, and data visualization techniques, this team transforms raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies. The team constantly works on optimizing prediction models, identifying trends, and providing data-driven solutions that directly enhance the company’s operational efficiency and the quality of its products. What you'll do As a Data Scientist - Predictive Maintenance at TRACTIAN, you will work at the intersection of advanced data science and industrial operations. Your mission is to develop cutting-edge algorithms and predictive models to monitor and predict equipment failures before they occur, optimizing asset reliability and reducing downtime. You’ll face complex challenges involving large-scale time-series data, real-time data processing, and machine learning applications, while collaborating closely with engineers and laboratory teams to ensure our predictive maintenance solutions remain industry-leading.

Requisitos

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.

Benefícios

Not specified