Data Science at TRACTIAN
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 to ensure our predictive maintenance solutions remain industry-leading.

What you'll do
In the Senior Data Scientist role, your primary responsibility will be to delve deep into complex datasets, using your advanced analytical skills to uncover insights, develop predictive models, and provide data-driven solutions. Your work will directly contribute to enhancing our product offerings and improving business strategies through rigorous data analysis and model development.

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.
Compensation
- Competitive salary and stock options- R$800/mo for you to use with food in supermarkets, restaurants and delivery- GymPass so you don't sit/work all day- Optional fully funded English / Spanish courses- 30 days of paid annual leave- Education and courses stipend- Earn a trip anywhere in the world every 4 years- Day off during the week of your birthday- R$200 a month for remote work allowance- Mental health support: we cover 40% of the cost of your therapy- Health plan with national coverage and without coparticipation- Dental Insurance: we help you with dental treatment for a better quality of life.- Sports Incentive: R$300/mo extra if you practice activities- Up to R$5.000 bonus for referring new Blue Caps

Location

São Paulo, SP

Job Overview
Job Posted:
1 week ago
Job Expires:
Job Type
Full Time

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