Lead Data Scientist

Candidate Requirements

• 4+ years in data science or applied ML research with a focus on computer vision or spectral/sensor data
• Demonstrated technical leadership: tech lead, mentoring, or project ownership. Formal people management is not required, but you should want to grow in that direction.
• Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, or a related quantitative field or equivalent practical experience.
• Deep experience with representation learning on high-dimensional sensors: autoencoders, self-supervised learning, dimensionality reduction, and sensor preprocessing/calibration.
• Strong Python and SQL, with a track record of taking models from research prototype to production.
• Hands-on PyTorch experience (CNNs, Vision Transformers, and autoencoders) and computer vision libraries such as OpenCVPractical experience with pytest, Docker, CI/CD pipelines, and experiment tracking (MLflow or similar)
• Comfortable working in a dynamic environment with evolving requirements and continuous product development.
• Effective communication skills with both technical and non-technical stakeholders.
• Legally entitled to work in Canada.

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