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 measurementsTrack participant IDs, sensor placement, timestamps, consent, labels,



and versionsCoordinate collection checklists with the testing teamCompare easy baselines using properly separated users and sessionsPreserve negative results and document experiment limitationsRequirements: Patience with messy data and curiosity about failure pointsPython, SQL, data wrangling, and Git fundamentalsKnowledge of training-validation separation and baseline comparisonsOne real project, capstone, research project, or substantial buildNew graduates and candidates with one to three years welcomeUse careful data analysis, sensor validation, and machine learning foundations to guide Bells of Steel’s wearable research.

📌 Data Analysis Specialist (Canada)
🏢 Bells of Steel
📍 Canada