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Added 11 days ago
Senior Frontend Developer, Market Innovations
HelloFresh
Toronto, ON
Proficiency with GraphQL and/or REST APIs, with a working knowledge of SQL for data exploration and product requirements
Added 11 days ago
SE
Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
Strong programming skills in Python and/or Java, with experience writing maintainable, well-tested, production-quality code.
Added 11 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products including Microsoft Fabric, Azure SQL Database, Azure Cosmos DB, Azure…
Added 11 days ago
RB
Associate Director - Lead Production Services Support, Fixed Income
Royal Bank of Canada
Toronto, ON
- Full-time
Solid Linux, SQL, and any scripting language (Shell, Perl, Java, Python, etc.)
Added 11 days ago
RB
Senior Site Reliability Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Knowledge of scripting languages and tools, including Python, GitHub, SQL, JavaScript, and web-related technologies such as HTML and CSS
Added 11 days ago
AS
Full Stack Java Developer
Apex Systems
Toronto, ON
- $55 to $80 USD / hour
- Contract
We are seeking an Expert Full Stack Developer to design, build, and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases, and cloud deployments.…
Added 11 days ago
M
Senior AI Full Stack Developer (Healthcare - SaaS)
MEDFAR
Montreal, QC
- Full-time
As a Full Stack Developer, you will be part of the AI Platform team, whose goal is to build and evolve the key features that support real-world healthcare workflows. This team works closely…
Added 11 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Advanced Python and SQL skills, including experience working with large-scale data warehouses
Added 11 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Advanced Python and SQL skills, including experience working with large-scale data warehouses
Added 11 days ago
R
Senior Site Reliability Engineer
RBC
Toronto, ON
- Full-time
Knowledge of scripting languages and tools, including Python, GitHub, SQL, JavaScript, and web-related technologies such as HTML and CSS
Added 11 days ago
BR
AI Solutions Architect
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
…engineering capabilities, combining enterprise solution architecture with the practical design, development, and deployment of production-grade AI-powered applications on Microsoft…
Added 11 days ago
AS
Data Scientist, ADE Analytics
Amazon Science
Vancouver, BC
- Full-time
1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Added 11 days ago
R
Associate Director - Lead Production Services Support, Fixed Income
RBC
Toronto, ON
- Full-time
Solid Linux, SQL, and any scripting language (Shell, Perl, Java, Python, etc.)
Added 11 days ago
C
Senior Manager, Client Analytics, Commercial Banking
CIBC
Toronto, ON
- Full-time
You can demonstrate data analytic skills including working with large sets of both structured and unstructured data as well as experience with tools including Databricks, SQL, Alteryx,…
Added 11 days ago
RB
Manager, Data Strategy
Royal Bank of Canada
Toronto, ON
- Full-time
…Enterprise Data, Exploration, Finance, Machine Learning (ML), Python (Programming Language), Snowflake (Platform), Statistics, Structured Query Language (SQL), Visualization…
Added 11 days ago
AI Data Scientist
Conga
Canada
Expert-level Python with extensive use of Hugging Face Transformers, spaCy, NLTK, Sentence Transformers, PyTorch, and TensorFlow.
Added 11 days ago
UO
Academic Teaching Staff Position in Business Analytics
University of Alberta
Edmonton, AB
- Full-time
Strong expertise in Business Analytics tools such as Python, R, SQL, Power BI, and Tableau is essential.
Added 11 days ago
R
Application Developer III
Raise
Toronto, ON
- Full-time
Contract Length: 12 months with possibility for extension
Added 11 days ago
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Business Analyst - Senior
Raise
Toronto, ON
- Full-time
Data and APIs: Perform data analysis using SQL, contribute to API specifications (REST/JSON), and support integration efforts with internal and external platforms.
Added 11 days ago
SL
Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Waterloo King
- Full-time
Strong proficiency in SQL and Python programming.
Added 11 days ago
Analytics Intern
Electronic Arts
Vancouver, BC
Experience with SQL (able to write aggregations, joins, window functions)
Added 11 days ago
Data Architect
Konrad
Toronto, ON
Strong programming skills in SQL, Python, or related languages.
Added 11 days ago
I-
DataOps/Cloud Data Engineer - Senior
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Advanced skills and hands-on experience with Oracle databases, Azure SQL Server and Azure Data Factory.
Added 11 days ago
JG
GCP Senior Data Engineer
J&M Group
Canada
- Contract
Technical: Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam).
Added 11 days ago
AS
Technical Support Engineer (FAAS)
Apex Systems
Toronto, ON
- $30 to $40 USD / hour
- Full-time
…in the Online Retail space for a Technical Support Engineer with experience working in jira, exposure to coding preferably in Ruby or Python strong problem solving abilities and proven…

Autodesk

Senior Data Scientist

Toronto, ON, Canada

For Canada based roles, we expect a starting base salary between $107,000 and $156,200. · Full-time

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Job details

Pay: For Canada based roles, we expect a starting base salary between $107,000 and $156,200.
Job type: Full-time
Apply by: Nov 15, 2026
Experience: 5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field
Posting language: English
Posted: Oct 16, 2026

Original job description

Job Requisition ID #

26WD101438

Position Overview

Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive models, machine learning products, and applied AI solutions that help Autodesk better understand customers and improve go-to-market decisions across the customer lifecycle.

In this role, you will apply machine learning, statistical methods, and practical AI techniques to complex business problems with meaningful impact. You will work across complex, real-world datasets, develop and improve models, and partner with cross-functional stakeholders to turn data into scalable products and business insights. This role is well suited for a strong individual contributor who brings deep technical judgment, thrives in ambiguity, and can guide high-impact work across multiple efforts.

Responsibilities

Design, develop, validate, and improve data science models and products. Participate in stakeholder planning sessions to gather context on ambiguous business challenges, and recommend data science modeling approaches that can drive business impact
Define customer and business value metrics, evaluation approaches, and validation criteria for models and products, including in situations with imperfect or incomplete data
Use SQL to transform complex data and build scalable datasets for modeling and analysis
Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products
Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements
Develop technical design and architecture documentation for data science and AI products
Help drive technical direction, working alongside engineering and product owners to navigate tradeoffs and execution decisions
Manage priorities across multiple projects, including helping shape tradeoffs and cross-functional team priorities
Become an expert in Autodesk data - recommend approaches to make reusable features and data products that can be leveraged to ensure data science products are built on trusted, stable and scalable foundation
Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences

Minimum Qualifications

5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field
Advanced Python and SQL skills, including experience working with large-scale data warehouses
Experience leading end-to-end development of machine learning models, data science products, or advanced analytical solutions in a business environment
Strong communication skills and the ability to explain technical concepts, decisions, and tradeoffs to different audiences

Preferred Qualifications

Experience with dbt
Familiarity with go-to-market data such as Salesforce, financial metrics, or product usage and engagement data
Experience using AI productivity and coding tools

The Ideal Candidate

Translate complex data into actionable business insights and compelling stories for technical and non technical stakeholders
Partner with product owners and cross functional teams to define priorities and solve high impact business problems
Analyze large and complex datasets while maintaining a strong focus on data quality and accuracy
Apply statistical, analytical, and machine learning techniques to solve ambiguous business challenges
Define success metrics, measure outcomes, and recommend data driven solutions to improve business performance
Lead end to end analytics projects and contribute to process improvements and best practices
Communicate findings and recommendations clearly to influence business decisions
Work independently while collaborating effectively across teams and mentoring junior team members when needed
Build strong stakeholder relationships and proactively identify opportunities to drive business impact
Connect analytical insights to broader business strategy and organizational goals

Learn More

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

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $156,200. 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.

Belonging

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

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

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More about this job

Responsibilities

Design, validate, and improve machine learning models and data products, using SQL and complex datasets to address ambiguous business challenges and define measures of success. Partner with engineering, product owners, and other stakeholders to guide technical decisions, develop scalable and trusted data foundations, and communicate findings and recommendations.

Requirements

Requires at least five years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field, along with advanced Python and SQL skills. Candidates should have led end-to-end machine learning or analytics solutions in a business setting and be able to communicate technical concepts and tradeoffs to varied audiences.

Skills

Machine Learning
Statistical Methods
Applied AI
Python
SQL
Data Warehousing
Predictive Modeling
Data Product Development
Model Validation
Data Transformation
Data Quality
Stakeholder Collaboration
Technical Communication
Business Analytics
dbt
Salesforce

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Data Analytics
Machine Learning
Artificial Intelligence
Applied AI
Predictive Models
Statistical Methods
Python
SQL
Large-Scale Data Warehouses
Data Products
Model Validation
Model Performance
Data Transformation
Data Quality
Data Architecture
Customer Lifecycle
Go-to-Market Data
Salesforce
Financial Metrics
Product Usage Data
Engagement Data
dbt
Business Metrics
Cross-Functional Collaboration
Stakeholder Communication
Data-Driven Decision-Making
AI Productivity Tools
Coding Tools

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