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

Current 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.

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