IT & Software

Wearable Sensor Data Analyst

Bells of Steel

Calgary · Alberta · Canada

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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 simple 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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Reference: WJ-3875_16150769 · Posted 11 Nov 2026, 08:17 PM

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