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 cooperative 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
- Strong 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 innovative data science at Sixone.

📌 Lead Data Scientist for Recycling Innovation (Vancouver)
🏢 Socket.dev
📍 Vancouver