Build trusted sensor datasets with Python and SQL at Bells of Steel in Calgary, working hybrid Monday through Friday onsite regularly. Turn movement recordings into evidence for better coaching.

This junior specialist role supports Bells of Steel’s training app and wearable research program. You will collaborate with the founder, engineers, coaches, and full-stack developer. The work combines data wrangling, reproducible machine learning experiments, reference measurements, and careful validation.

Key Responsibilities

Build Python and SQL tools for sensor recordings and workout logs

Maintain traceable datasets with participant, exercise, equipment, and label details

Run collection checklists and catch missing samples, timing errors, and bad labels





Build documented baselines with separated-user and session evaluation

Write error reports, limitations, and interfaces for the app team

Requirements

Practical Python, data wrangling, SQL, and Git experience

Foundation in statistics, machine learning, validation, and overfitting

At least one substantial project from work, research, school, or personal building

Ability to explain what results do and do not show

Experience with iOS and Android development

Apply Python, SQL, machine learning, and careful validation to wearable sensor research at Bells of Steel in Calgary.

📌 Junior Python Machine Learning Specialist (Winnipeg)
🏢 Bells of Steel
📍 Winnipeg