Data Scientist
Company: Autodesk
Location: Greater Toronto Area (Remote)
Salary: $165k - $175k per year
Type: Full-time
Level: mid
Remote: Yes
Posted: 2026-03-11
About this role
Autodesk is advancing flagship products such as AutoCAD, Revit, and Forma with cloud-native architecture, scalable data, AI-driven capabilities, and high-fidelity visualization. Visualization Solutions sits at the center of that shift, delivering consistent, modern graphics and interaction across web, mobile, and desktop.
We are seeking a Principal Data Scientist to partner with multidisciplinary Visualization Solutions teams to define and evolve product analytics and applied AI practices. This role brings data science into day-to-day product engineering, from instrumentation and experimentation through advanced analytics and machine learning. You will work on complex, high-scale problems and turn product and platform data into systems and insights that directly shape visualization performance, adoption, and customer experience.
This role reports to the Director, Experience Design, IGS Visualization Solutions.
Responsibilities
- Drive business and product planning through insights on product usage, adoption, feature utilization, performance, and reliability.
- Design and implement robust data models and schemas aligned to product and platform needs.
- Audit existing product, platform, and data systems for completeness and accuracy, and strengthen instrumentation to enable reliable, decision-ready analytics.
- Build and optimize scalable data pipelines and architectures, including cloud-based ETL processes and large-scale data structures for analytics and machine learning.
- Develop processes to ingest, transform, and distribute data into internal systems and applications.
- Partner with engineering and platform teams to identify and resolve data quality issues.
- Create dashboards, analyses, and experimentation frameworks that translate raw data into clear recommendations.
- Provide rigorous ad hoc analysis to support strategic and operational decisions.
- Communicate findings clearly to cross-functional stakeholders and senior leaders.
- Partner with engine...