Join Sixone as the Lead Data Scientist, focusing on machine learning and data science for advanced recycling solutions. Drive real-time process decisions and build robust data models for circular plastics.
In this leadership role, you will apply your expertise in data science and machine learning, specifically in high-dimensional sensor data. Expected to split your time 65% on technical work and 35% on mentoring a talented team of data scientists and engineers. Your challenge will be to convert complex data into scalable models that enhance recycling processes.
Key Responsibilities:
• Lead design of ML systems for materials processing
• Develop deep learning models for sensor data representation
• Manage data pipelines using Python and SQL




• Mentor team members while fostering a team-oriented environment
• Collaborate with Engineering and R&D; for model deployment
Requirements:
• 4+ years in data science with a focus on computer vision
• Master's or Ph.D. in a quantitative field
• Solid experience in representation learning and Python
• Hands-on with PyTorch and computer vision libraries
• Effective communication skills for stakeholder interactions
Lead the charge in transforming recycling through creative data science at Sixone.
J-18808-Ljbffr

📌 Lead Data Scientist For Recycling Innovation Burnaby (Canada)
🏢 Socket.dev
📍 Canada