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Added 4 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 4 hours ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 4 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 10 hours ago
A
Principal Data Scientist
Autodesk
Montreal, QC
- Full-time
Lead junior/ senior data scientists and analysts. Apply statistical techniques to model customer behavior and trends to identify potential opportunities for growth and improvement
Added 12 hours ago
Senior Data Analyst
Konrad
Toronto, ON
As a Senior Data Analyst, you are an experienced analytics professional who leads analytical initiatives and partners directly with stakeholders to shape data-informed strategy. You drive…
Added 12 hours ago
Data Analyst
Konrad
Toronto, ON
You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and…
Added 13 hours ago
J
Senior Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
Then Jobber might be the place for you. We're looking for a Senior Manager, Credit Risk to join our Fintech department.
Added 13 hours ago
CC
Data Engineer
Canadian Cancer Society
Hamilton, ON
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 13 hours ago
Senior Full Stack Engineer
Workstream
Vancouver, BC
Proficiency in at least one or more of the following languages: Python, Java, PHP, or JavaScript, with experience developing full-stack, high-performance, and high-availability applications.
Added 13 hours ago
K
Senior Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
Working with tools such as Power BI, Tableau, Alteryx, SQL, Python, Power Platform, Copilot, ChatGPT Enterprise, or similar platforms.
Added 15 hours ago
TH
Product Manager II, Advanced Analytics, Tim Hortons, Canada
Tim Hortons
Toronto, ON
- Full-time
Familiarity with data analysis languages (e.g. SQL & Python) and modern data tools (e.g., Databricks, Snowflake, AWS, Datadog, Adobe) and analytics visualization tools.
Added 16 hours ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 16 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 16 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 18 hours ago
CC
Data Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 18 hours ago
SQ
Manager Forecasting, Workforce Management
Sunlife Québec
Montreal, QC
- Full-time
Provide analysis, insights, and recommendations to senior business leaders and other stakeholders to drive evidence-based operational decisions
Added 18 hours ago
CC
Data Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 18 hours ago
CC
Data Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 18 hours ago
CC
Data Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 18 hours ago
CC
Data Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 18 hours ago
CC
Data Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 18 hours ago
Senior Consultant - Risk Consulting - Actuarial
EY
Toronto, ON
Experience with Excel VBA, SQL, Python, R or actuarial modelling software.
Added 19 hours ago
CC
Data Engineer
Canadian Cancer Society
St. John's, NL
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 19 hours ago
PC
Operations and Procurement Senior Associate
PwC Canada
Victoria, BC
- Full-time
Familiarity with data tools or programming languages (SQL, Python, Alteryx) is an asset; and strong analytical and modeling skills using simulation tools and AI.
Added 19 hours ago
PC
Operations and Procurement Senior Associate
PwC Canada
Vancouver, BC
- Full-time
Familiarity with data tools or programming languages (SQL, Python, Alteryx) is an asset; and strong analytical and modeling skills using simulation tools and AI.

Autodesk

Principal Data Scientist

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English · French
Posted: Oct 20, 2026

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD101222

26WD101222 Principal Data Scientist

Position Overview

With the current footprint in construction projects and recent acquisitions, Autodesk is well equipped to revolutionize the construction industry. The team is responsible for ensuring that the company has an accurate and practical understanding of our cloud platform usage health and ensuring we can understand our customers better and make data-driven decisions as an organization and improve product, business, adoption, and sales operations by applying data science. We work in close sync with our executive staff due to our direct impact on Autodesk Construction Solution business.

Responsibilities

Work alongside a product development team and apply data mining, analytics and machine learning methods to understanding how customers use, adopt and achieve successful outcomes with our products
Lead junior/ senior data scientists and analysts. Apply statistical techniques to model customer behavior and trends to identify potential opportunities for growth and improvement
Building statistical models (both predictive and descriptive) for customer lifetime value modeling, retention modeling etc.
The ideal candidate is a strong data scientist who thinks outside the box, is naturally curious, highly collaborative, and has a passion for tackling complex data-centric problems

Minimum Qualifications

MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields
Proficient in Python
Experience working with relational SQL and/or NoSQL databases
Experience working with big data platforms (Hadoop, Spark, Hive)
Experience in statistical programming tools such as R, Matlab, SAS, Python data science toolkits, etc.
Familiarity with Statistics concepts and analysis, e.g. hypothesis testing, regression, experimental design, etc.
Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc.
Good communication skills and ability to explain complex topics to both technical and non-technical audience as well

The Ideal Candidate

A curious individual who believes that data is the best tool to understand what is happening
An eager learner who will continually seek to expand their skills to new tools, techniques, and systems
A strong communicator who can understand complex patterns and simplify them down
A self-starter who finds new ways to solve problems
You have experience owning complex projects from start to finish. You define a data science roadmap and execute against it in collaboration with others
You are passionate about insights, not just data. You’re a strategic thinker and are able to synthesize methodology and data into actionable business and/or product strategy from your analyses

Learn More / En savoir plus

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency / Transparence Salariale

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $129,000 and $189,200 Annual. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $129,000 et $189,200 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

Belonging / appurtenance

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

Intégration en présentiel et vérification d’identité

This role may require in-person onboarding and/or in-person ID verification.

Read the full bilingual original

Job Requisition ID #

26WD101222

26WD101222 Principal Data Scientist

Position Overview

With the current footprint in construction projects and recent acquisitions, Autodesk is well equipped to revolutionize the construction industry. The team is responsible for ensuring that the company has an accurate and practical understanding of our cloud platform usage health and ensuring we can understand our customers better and make data-driven decisions as an organization and improve product, business, adoption, and sales operations by applying data science. We work in close sync with our executive staff due to our direct impact on Autodesk Construction Solution business.

Responsibilities

Work alongside a product development team and apply data mining, analytics and machine learning methods to understanding how customers use, adopt and achieve successful outcomes with our products
Lead junior/ senior data scientists and analysts. Apply statistical techniques to model customer behavior and trends to identify potential opportunities for growth and improvement
Building statistical models (both predictive and descriptive) for customer lifetime value modeling, retention modeling etc.
The ideal candidate is a strong data scientist who thinks outside the box, is naturally curious, highly collaborative, and has a passion for tackling complex data-centric problems

Minimum Qualifications

MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields
Proficient in Python
Experience working with relational SQL and/or NoSQL databases
Experience working with big data platforms (Hadoop, Spark, Hive)
Experience in statistical programming tools such as R, Matlab, SAS, Python data science toolkits, etc.
Experience with data science toolkits like pandas, Jupyter, scikit-learn, TensorFlow, etc.
Familiarity with Statistics concepts and analysis, e.g. hypothesis testing, regression, experimental design, etc.
Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc.
Experience implementing reporting programs like Domo, Looker, Tableau, PowerBI, etc.
Experience in data visualization tools
Experience in customer analytics
Good communication skills and ability to explain complex topics to both technical and non-technical audience as well

The Ideal Candidate

A curious individual who believes that data is the best tool to understand what is happening
An eager learner who will continually seek to expand their skills to new tools, techniques, and systems
A strong communicator who can understand complex patterns and simplify them down
A self-starter who finds new ways to solve problems
You have experience owning complex projects from start to finish. You define a data science roadmap and execute against it in collaboration with others
You are passionate about insights, not just data. You’re a strategic thinker and are able to synthesize methodology and data into actionable business and/or product strategy from your analyses

About Autodesk Construction Solutions

Autodesk has fully reimagined the construction business for the digital age, enabling companies to address the most important challenges they face today while preparing for new ways of working in the future. The Autodesk Construction Solutions (ACS) portfolio connects the office, trailer and field so customers can move seamlessly through each phase of a building's lifecycle - from design and pre-construction to construction, turnover and operations - with best-in-class solutions that include Assemble Systems, BuildingConnected and PlanGrid. General contractors, subcontractors, and owners around the world rely on ACS to win more work, enhance collaboration, speed decision-making, reduce risk, and improve overall project outcomes.

Learn More / En savoir plus

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

À propos d’Autodesk

Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être.

Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde.

En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !

Salary transparency / Transparence Salariale

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $129,000 and $189,200 Annual. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $129,000 et $189,200 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

Belonging / appurtenance

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Nous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

Intégration en présentiel et vérification d’identité

This role may require in-person onboarding and/or in-person ID verification.

Ce poste peut nécessiter une intégration et/ou une vérification d'identité en présentiel.

Apply About employer

More about this job

Responsibilities

Apply data mining, analytics, statistical modeling, and machine learning to understand customer product usage, adoption, outcomes, and behavior, and identify opportunities for business and product improvement. Lead data scientists and analysts, develop predictive and descriptive models such as customer lifetime value and retention models, and collaborate with product teams and executives to turn insights into actionable strategy.

Requirements

Requires an MS or PhD in mathematics, physical sciences, statistics or analytics, computer science, or a related field, along with proficiency in Python and experience with databases, big data platforms, statistical and machine learning methods, data science toolkits, reporting, and visualization. The candidate should have customer analytics experience, strong communication and collaboration skills, and the ability to own complex projects and define and execute a data science roadmap.

Skills

Python
SQL
NoSQL
Hadoop
Spark
Hive
Statistical Programming
Pandas
Jupyter
Scikit-Learn
TensorFlow
Statistical Modeling
Machine Learning
Data Visualization
Customer Analytics
Communication

Benefits

Annual Cash Bonuses
Commissions for Sales Roles
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Customer Analytics
Construction Industry
Cloud Platform Usage
Data Mining
Analytics
Machine Learning
Statistical Modeling
Customer Lifetime Value
Retention Modeling
Python
SQL
NoSQL
Hadoop
Spark
Hive
R
MATLAB
SAS
Pandas
Jupyter
Scikit-Learn
TensorFlow
Hypothesis Testing
Regression
Experimental Design
Classification
Clustering
Tableau
Power BI

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