Data Scientist

4 semanas atrás

São Paulo, São Paulo, Brasil TRACTIAN ?? Tempo inteiro

Join to apply for the Data Scientist - Predictive Maintenance role at TRACTIAN .

Data Science at TRACTIAN
The Data Science team focuses on extracting valuable insights from industrial data. Using statistical methods, algorithms, and data visualization, this team transforms raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies. The team optimizes prediction models, identifies trends, and provides data-driven solutions that enhance operational efficiency and product quality.

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 address 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.

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
  • 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.

Seniority level

  • Entry level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology
  • Industries: Software Development

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