Turn wearable sensor recordings into reliable findings for Bells of Steel’s training app using data wrangling, statistics, and machine learning. Work hybrid in Calgary.

This six-month contract supports a wearable research program testing affordable sensors for strength-training coaching. You will collaborate with coaches, engineers, the founder, and a full-stack developer. Your work will connect participant data, exercise labels, equipment setups, and reference measurements with reproducible evaluation. The contract ends in March 2027, with possible full time transition based on performance and business needs.

Key Responsibilities:

- Check sensor recordings, workout logs, and reference measurements
- Track participant IDs, exercises, equipment, placement, consent, and versions
- Identify missing samples, bad labels,



and timing problems
- Evaluate baselines using properly separated users and sessions
- Document errors, limitations, negative results, and reusable interfaces

Requirements:

- Python, SQL, Git, and practical data-wrangling skills
- Understanding of separate training and validation data
- Ability to compare machine learning results against baselines
- Patience with messy data and curiosity about failures
- Strength-training familiarity with sets, reps, RPE, and progression

Use careful analysis and strength-training knowledge to clarify what wearable sensor results can support.

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📌 Wearable Sensor Data Analyst (Calgary)
🏢 Stichting Mission on Wheels
📍 Calgary