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Lead Data Scientist
Sixone Labs
Burnaby, CAN
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
Data scienceMachine learningComputer visionSpectral and sensor dataDeep learningRepresentation learning
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Data scienceMachine learningComputer vision
Role Overview
The role applies data science and machine learning to real-time sorting and process decisions.
The team builds robust representations of materials from high-dimensional sensor data and models that run reliably.
This is a player-coach role with approximately 65% hands-on technical work and 35% leadership.
Key Skills for This Role
Data scienceMachine learningComputer visionSpectral and sensor dataDeep learningRepresentation learning
Full Job Posting
Company Mission
Sixone develops technologies for circular recycling of blended plastics and plastic-based products back into existing supply chains.
The company's technology combines process digitalization and advanced analytics to build depolymerization reactors for efficient plastics recycling.
Sixone aims to improve the economics of recycled materials through advanced processing and materials technologies.
Role Overview
The role applies data science and machine learning to real-time sorting and process decisions.
The team builds robust representations of materials from high-dimensional sensor data and models that run reliably.
This is a player-coach role with approximately 65% hands-on technical work and 35% leadership.
Technical Leadership
- Lead architecture decisions for machine learning systems and translate scientific and product requirements into scalable, maintainable designs.
- Develop and benchmark deep learning architectures for high-dimensional spectral data, including classification, segmentation, anomaly detection, and representation learning.
- Build and manage Python and SQL data pipelines locally and on AWS.
- Integrate imaging and edge-sensing data, including proprietary formats and calibration workflows.
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