Data Scientist (Predictive Maintenance)

TL;DR

Data Scientist (Predictive Maintenance): Developing advanced algorithms and predictive models to monitor industrial equipment and prevent failures with an accent on time-series analysis and signal processing. Focus on building scalable, real-time models and collaborating with laboratory teams to validate hypotheses using real machinery data.

Location: Remote (Brazil)

Company

hirify.global is an industrial technology company that integrates hardware and software to provide smarter maintenance solutions for frontline workers.

What you will do

• Develop predictive maintenance algorithms using machine learning 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.
• Design experiments with the laboratory team to validate hypotheses and develop failure datasets.
• Continuously refine models based on real-world performance and experimental results.

Requirements

• Expertise in machine learning, time-series analysis, and anomaly detection.
• Proficiency in Python and ML libraries like NumPy, pandas, scikit-learn, and PyTorch.
• Solid understanding of signal processing and experience with industrial sensor data.
• Ability to apply insights from academic literature to practical condition monitoring.
• Advanced English proficiency required.

Nice to have

• Experience translating academic research into production-ready algorithms.
• Background in industrial or manufacturing environments.
• Knowledge of vibration-based methods and fault diagnosis.

Culture & Benefits

• Competitive salary and stock options.
• 30 days of paid annual leave.
• Education and courses stipend.
• Travel perk: trip anywhere in the world every 4 years.
• Comprehensive health and dental insurance.
• Wellhub and sports incentive program.