Turn wearable sensor recordings into reliable research data at Bells of Steel’s Calgary office through a hybrid schedule. Your work supports training feedback grounded in validated findings.
As a junior data and machine learning specialist, you will help test whether affordable sensors improve coaching. You will work with coaches, engineers, the founder, and the full-stack developer. The role centers on signal data, workout logs, reference measurements, and reproducible evaluation.
Key Responsibilities: Check sensor recordings, workout logs, and reference measurements
Track participant IDs, sensor placement, timestamps, consent, labels, and versions
Coordinate collection checklists with the testing team
Compare straightforward baselines using properly separated users and sessions




Preserve negative results and document experiment limitations
Requirements: Patience with messy data and curiosity about failure points
Python, SQL, data wrangling, and Git fundamentals
Knowledge of training-validation separation and baseline comparisons
One real project, capstone, research project, or substantial build
New graduates and candidates with one to three years welcome
Use careful data analysis, sensor validation, and machine learning foundations to guide Bells of Steel’s wearable research.

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📌 Wearable Sensor Data Analyst (Alberta)
🏢 Bells of Steel
📍 Alberta