Principal Data Scientist

Autodesk Autodesk · Enterprise · Toronto, ON +2

Principal Data Scientist at Autodesk to partner with Visualization Solutions teams, focusing on product analytics and applied AI. The role involves driving product planning through insights, designing data models, building data pipelines, and developing analytics and experimentation frameworks. It requires strong SQL, Python/R, and big data/cloud environment experience, with a preference for experience in data mining, large-scale analytics, or ML in production, especially applied to 3D data or graphics systems.

What you'd actually do

  1. Drive business and product planning through insights on product usage, adoption, feature utilization, performance, and reliability.
  2. Design and implement robust data models and schemas aligned to product and platform needs.
  3. Audit existing product, platform, and data systems for completeness and accuracy, and strengthen instrumentation to enable reliable, decision-ready analytics.
  4. Build and optimize scalable data pipelines and architectures, including cloud-based ETL processes and large-scale data structures for analytics and machine learning.
  5. Create dashboards, analyses, and experimentation frameworks that translate raw data into clear recommendations.

Skills

Required

  • SQL
  • Python or R
  • AWS, Redshift, Snowflake, BigQuery, Spark, or similar technologies
  • analytics and BI tools such as Looker, Tableau, Splunk, Mixpanel, or similar platforms
  • Bachelor’s or advanced degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field
  • Significant experience in data science, advanced analytics, or business analytics roles
  • Strong systems thinking
  • Ability to collect, structure, analyze, and interpret large volumes of data with accuracy and attention to detail
  • Strong written and verbal communication skills

Nice to have

  • Experience in data mining, large-scale analytics, or machine learning in production environments
  • Experience applying AI or advanced analytics to 3D data, graphics systems, simulation outputs, or complex design and engineering workflows
  • Experience supporting real-time or interactive applications with data-driven systems
  • Proven ability to frame ambiguous problems, generate insight, and establish a clear point of view that influences direction

Other signals

  • product analytics
  • applied AI practices
  • advanced analytics
  • machine learning