Drive innovation in recycling technology as a Principal Data Scientist at Sixone, focusing on machine learning and data science. Lead a team while applying advanced techniques to revolutionize plastic recycling. In this critical role, you will apply data science expertise to optimize sorting and process decisions for Sixone's advanced recycling technology. As a player-coach, you will provide technical leadership while mentoring a team of data scientists and machine-learning engineers.

Your responsibilities will include hands-on development, architectural decisions, and collaboration across various functional teams. Key Responsibilities:
Lead architectural designs for machine learning systems
Develop deep learning models for high-dimensional spectral data




Manage data pipelines in Python and SQL on AWS
Mentor the data science and machine-learning team
Maintain documentation to support compliance and knowledge retention

Requirements:
4+ years in data science, especially in computer vision
Master’s or Ph.D. in relevant technical fields
Robust experience in Python, SQL, and deep learning frameworks
Proficiency with PyTorch and OpenCV
Effective communication with technical stakeholders

Your expertise in data science and machine learning will be essential as you transform the recycling industry with Sixone.

📌 Principal Data Scientist At Sixone Vancouver
🏢 S27a
📍 Vancouver