Responsibilities
- Work directly with Tractian OEE, our product focused on production monitoring.
- Develop classification and regression models.
- Build ML models to evaluate production efficiency.
- Develop statistical models for machine signal processing.
- Design heuristics to model the behavior of an industrial plant.
- Test and evaluate models for performance, accuracy, and recall.
- Integrate existing data pipelines and models from other products into OEE models.
- 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 technicians to make data-driven maintenance decisions.
- Continuously refine models based on real-world performance and feedback.
Requirements
- Bachelor’s degree in Software Engineering, Statistics, Computer Science, or related fields.
- Proven experience as a Data Scientist.
- Advanced knowledge of statistics.
- Expertise in machine learning, time-series analysis, and anomaly detection.
- Proficiency in Python.
- Knowledge of signal processing and industrial sensor data.
- Strong problem-solving skills and ability to work with high-dimensional data.
Bonus Points
- Knowledge of Linear Optimization.
- Industrial domain knowledge (machines, production lines, etc.).
- Knowledge of Bayesian Statistics.
- Experience with Kalman Filtering.
- Knowledge of Markov Chains.
Top Skills
What We Do
Tractian is a machine intelligence company that offers industrial monitoring systems. Tractian builds streamlined hardware-software solutions to give maintenance technicians and industrial decision-makers comprehensive oversight of their operations. It is democratizing access to sophisticated real-time monitoring and asset operations tools.
Tractian's solutions are used in environments that address a combined total of 5% of global industrial output. The company’s broad market reach is evidenced in its customer base from various industries, such as John Deere, Procter & Gamble, Caterpillar, Goodyear, Carrier, Johnson Controls, and Bimbo, the owner of the brands Little Bites and Thomas Bagels. Tractian's customers see a 6-12x ROI with savings of $6,000 per monitored machine annually on average.
In a major milestone and a first for the industry, Tractian launched the AI-Assisted Maintenance category in the industrial sector. In this new paradigm, artificial intelligence identifies machine problems and suggests preventive actions to be taken, giving invaluable insight and support to maintenance professionals. It is important to highlight that the intent of Assisted Maintenance is firmly rooted in augmenting maintenance professionals to provide more assertive diagnosis with human-in-the-loop feedback.
Tractian's mission is to elevate this category of workers in a highly impactful way. The Assisted Maintenance category will provide unimaginable support for maintenance professionals. By combining shop floor expertise with our technology, maintainers will be able to anticipate and address issues with unprecedented accuracy and speed
