Data Scientist on the Machine Learning Team for Alberta’s Workers’ Compensation Board. Developing scalable machine learning solutions and overseeing analytics projects to improve workplace safety.
About the role
- Principal Data Scientist at Autodesk leveraging data science for product engineering and analytics insights. Responsible for building data pipelines and optimizing data-driven decision-making processes.
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.
Requirements
- 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.
- Experience in data mining, large-scale analytics, or machine learning in production environments (Preferred)
- Experience applying AI or advanced analytics to 3D data, graphics systems, simulation outputs, or complex design and engineering workflows (Preferred)
- Experience supporting real-time or interactive applications with data-driven systems (Preferred)
Benefits
- Annual cash bonuses
- Commissions for sales roles
- Stock grants
- Comprehensive benefits package
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