Industrial Insights Specialist

1 dia atrás

São Paulo, São Paulo, Brasil beBeeMaintenance Tempo inteiro R$100.000 - R$140.000

Industrial Insights Specialist

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Our Industrial Insights team focuses on extracting valuable insights from industrial data.

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We use advanced statistical methods, algorithms, and data visualization techniques to transform raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies.

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The team continuously 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.

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What you'll do:

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As an Industrial Insights Specialist, you will work at the intersection of advanced data science and industrial operations.

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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.

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You'll face complex challenges involving large-scale time-series data, real-time data processing, and machine learning applications, while collaborating closely with engineers to ensure our predictive maintenance solutions remain industry-leading.

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Responsibilities\
  • Develop predictive maintenance algorithms using machine learning techniques for time-series data.
  • Analyze sensor data streams to identify patterns that predict equipment failure.
  • Collaborate with engineers to improve data pipelines and enhance model accuracy.
  • Build scalable, real-time models for low-latency predictions.
  • Create diagnostic tools for technicians to make data-driven maintenance decisions.
  • Continuously refine models based on real-world performance and feedback.
Requirements\
  • Experience in predictive maintenance and condition monitoring.
  • Expertise in machine learning, time-series analysis, and anomaly detection.
  • Proficiency in Python programming language.
  • Knowledge of signal processing and industrial sensor data.
  • Experience with real-time data pipelines and cloud platforms.
  • Strong problem-solving skills and ability to handle noisy, high-dimensional data.

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