Principal Data Scientist

Autodesk

Principal Data Scientist developing product analytics and machine learning at Autodesk. Collaborating with teams to enhance visualization performance, adoption, and customer experience.

Posted 6/30/2026full-timeToronto • 🇨🇦 CanadaLead💰 CA$129,000 - CA$189,200 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudETLPythonSparkSplunkSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 expertise in SQL and working with complex, large-scale datasets across multiple sources
Proficiency with analytics and BI tools such as Looker, Tableau, Splunk, Mixpanel, or similar platforms
Experience with Python or R for statistical analysis and data processing
Hands-on experience with big data and cloud-based data environments such as AWS, Redshift, Snowflake, BigQuery, Spark, or similar technologies
Strong systems thinking / Experience building analytics foundations in complex environments
Ability to collect, structure, analyze, and interpret large volumes of data with accuracy and attention to detail
Strong written and verbal communication skills, with the ability to present complex ideas in a clear, actionable way.

Benefits

Comp & perks

Annual cash bonuses
Commissions for sales roles
Stock grants
Comprehensive benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ModelingData AnalysisETL ProcessesData TransformationData Quality AssuranceStatistical AnalysisLarge-Scale Data StructuresData VisualizationMachine LearningSystems Thinking

Soft Skills

Communication SkillsAttention to Detail