Industrial Data Analyst

Há 5 dias

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro R$5.000 - R$9.500

At Tractian Technologies Inc., you'll break boundaries and drive real change in the industrial world.

Transforming Industrial Operations

We're revolutionizing operations by empowering frontline maintenance workers to achieve more. Our cutting-edge platform combines innovative software with advanced hardware, disrupting legacy systems and delivering smarter solutions for clients.

As a part of our growth-stage startup, you'll collaborate with top talent to shape vision, products, and experiences that will define the future of industrial tech.

Data Science at Tractian

The Data Science team focuses on extracting valuable insights from vast industrial data. Using advanced statistical methods, algorithms, and data visualization techniques, this team transforms raw data into actionable intelligence driving decision-making across engineering, product development, and operational strategies.

What You Will Do

As a Data Scientist - Predictive Maintenance, you will develop cutting-edge predictive models to monitor and predict equipment failures before they occur. You'll face complex challenges involving large-scale time-series data, real-time processing, and machine learning applications, while collaborating closely with engineers to ensure industry-leading predictive maintenance solutions.

Key Responsibilities
  • Develop predictive maintenance algorithms using machine learning techniques for time-series data.
  • Analyze sensor data streams to identify patterns predicting 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.
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.

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