LabsCubed is looking for a Data Scientist who thrives at the intersection of mechanical testing, data analysis, and software. You will ensure our test systems produce accurate, consistent data, validate new equipment, resolve discrepancies, and work with sales and customers to maintain confidence in our results. This is a high-impact role where your analyses directly shape the development of cutting-edge testing machines for rubber and plastics manufacturers.

What You’ll Do
Audit and analyze test data from tensile, tear, flexure, and other mechanical systems
Validate recent machines to ensure accurate, consistent, and reliable data
Investigate and resolve data discrepancies with engineering, sales, and customers
Build scripts, tools, and AI/ML models to automate analysis, detect anomalies, and improve data quality
Collaborate across engineering, sales and customers to implement improvements and track results

What We’re Looking For




Bachelor’s or higher in Mechanical Engineering, Materials Science, Physics, Data Science, Computer Science, or similar
Robust Python or similar programming skills
Solid foundation in statistics, experimental design, and root cause analysis
Experience with structured lab or industrial datasets
Excellent communication skills for technical and non-technical audiences

Nice to Have
Familiarity with mechanical testing equipment and standards (ASTM D638, D1004, D790)
Experience with AI/ML frameworks (scikit-learn, TensorFlow, PyTorch)
Background in measurement systems analysis, gauge R&R;, or Six Sigma

Pay: $53,094.34-$116,898.51 per year

Perks :
Employee stock purchase plan
Stock options

Work Location: In person

📌 Data Scientist Kitchener
🏢 LabsCubed
📍 Kitchener