Manufacturing Jobs in São Paulo, Brazil (Now Hiring) — 558 open — Page 25

Data Science at TRACTIAN

What you'll do

Responsibilities

• Develop predictive maintenance algorithms using machine learning techniques for time-series data.
• Analyze sensor data streams to identify patterns that predict equipment failure.
• Research and stay up to date with academic literature and state-of-the-art condition monitoring techniques, translating relevant advances into practical solutions.
• Collaborate with engineers to improve data pipelines and enhance model accuracy.
• Build scalable, real-time models for low-latency predictions.
• Create diagnostic tools that enable data-driven maintenance decisions.
• Work with the laboratory team to design experiments and develop failure datasets using real machinery to validate hypotheses, develop new models, and optimize existing ones.
• Continuously refine models based on real-world performance, experimental results, and feedback.

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.

Bonus Points

• Familiarity with both academic research and real-world applications in condition monitoring, fault diagnosis, and prognostics (e.g., vibration-based methods, model-based vs. data-driven approaches).
• Experience translating academic methods into robust, production-ready algorithms.
• Prior experience working in industrial or manufacturing environments.

Compensation & Benefits

• Competitive salary and stock options
• 30 days of paid annual leave
• Education and courses stipend
• Earn a trip anywhere in the world every 4 years
• R$1.035/month for meals allowance
• Health plan with national coverage and without coparticipation
• Dental Insurance: we help you with dental treatment for a better quality of life.
• Wellhub and Sports Incentive: R$300/mo extra if you practice activities