Principal Data Scientist

Autodesk

. Work alongside a product development team to apply data mining, analytics, and machine learning methods to understand customer product usage, adoption, and outcomes .

Posted 9/23/2026full-timeRemote • CanadaLead💰 CA$129,000 - CA$189,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data mining, analytics, and machine learning to drive customer insights and product strategies. Proficient in statistical modeling and data visualization, with strong leadership capabilities in guiding data science teams.

Highest-signal resume keywords

Proficiency In PythonExperience With SQL And NoSQL DatabasesExperience With Big Data PlatformsExperience With Data Science ToolkitsExperience In Customer Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningMachine LearningStatistical ModelingPredictive AnalyticsStatistical ProgrammingData VisualizationHypothesis TestingRegression AnalysisClustering TechniquesExperimental Design

Soft Skills

Good Communication SkillsAbility To Explain Complex Topics

Tools & Technologies

HadoopSparkHiveRMatlabSASPandasJupyterScikitTensorFlow

Industry Keywords

Customer AnalyticsData Science RoadmapBusiness StrategyProduct StrategyExecutive Collaboration

Tech Stack

Tools & technologies

HadoopNoSQLPandasPythonSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

Work alongside a product development team to apply data mining, analytics, and machine learning methods to understand customer product usage, adoption, and outcomes
Lead junior and senior data scientists and analysts
Apply statistical techniques to model customer behavior and trends and identify opportunities for growth and improvement
Build predictive and descriptive statistical models for customer lifetime value and retention
Develop actionable business and product strategy from data science analyses
Partner with executive staff and contribute to decisions affecting the Autodesk Construction Solutions business

Requirements

What you’ll need

MS/PhD in Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or another relevant field
Proficiency in Python
Experience with relational SQL and/or NoSQL databases
Experience with big data platforms including Hadoop, Spark, and Hive
Experience with statistical programming tools such as R, Matlab, SAS, Python data science toolkits, etc.
Experience with data science toolkits including pandas, Jupyter, scikit, and TensorFlow
Familiarity with statistics concepts and analysis, including hypothesis testing, regression, and experimental design
Familiarity with machine learning techniques, including classification, clustering, regularization, optimization, and dimension reduction
Experience implementing reporting programs such as Domo, Looker, Tableau, and PowerBI
Experience with data visualization tools
Experience in customer analytics
Good communication skills and ability to explain complex topics to technical and non-technical audiences
Experience owning complex projects from start to finish
Ability to define a data science roadmap and execute it collaboratively

Benefits

Comp & perks

Annual cash bonuses may be included
Commissions for sales roles may be included
Stock grants may be included
Comprehensive benefits package
In-person onboarding and/or in-person ID verification may be provided/required