Quantitative Research Lead, Construction & Platform
Autodesk · Toronto, Canada
About this role
Autodesk is hiring a senior-level Research Scientist in the machine learning function based in Toronto, Canada. The posting calls out experience with Python, R, System Design.
- Role
- Research Scientist
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Toronto, Canada
- Posted
- May 21, 2026
More roles at Autodesk
Job description
from Autodesk careersJob Requisition ID #
Position Overview
In Autodesk AEC Construction, our mission is to help teams meet the world’s rapidly expanding building and infrastructure needs while making construction more predictable, safe, and sustainable. Reporting to the Director, AEC, AI Research, User Success, the Principal User Researcher, Quantitative Research, plays a key role in helping the organization understand and improve user and product experience through rigorous quantitative research and measurement. This role leads large-scale benchmarking and sentiment measurement efforts, enabling teams to make more informed product and business decisions grounded in user evidence.
This role exists to strengthen how user experience is measured across products and workflows. By leading large-scale user sentiment benchmarking surveys across key product experiences, the Principal Quantitative Researcher helps create more reliable, actionable, and trusted insights across the organization.
Operating at the intersection of research, analytics, and product, this role works closely with a Senior Principal Quantitative Researcher while independently leading high-impact research initiatives. The role is highly hands-on, with a strong emphasis on designing and executing quantitative studies, analyzing large-scale survey data, and synthesizing insights across multiple data sources—including behavioral analytics and business metrics. Success in this role means improving the organization’s ability to understand user sentiment over time, identify meaningful product opportunities, and make better prioritization and investment decisions through high-quality quantitative insight.