Find work in Canada.

327,774 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 1 month ago
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 11 days ago
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
Full-time
Your work will directly support PDO’s mission to embed GenAI across our products and improve operational excellence, contributing to Guidewire’s broader goal of transforming how the world’s…
Added 1 month ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
Full-time
…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…
Added 17 days ago
GenAI Delivery Architect
Capgemini
Mississauga, ON
We are seeking a hands-on GenAI Delivery Architect to design, build, and lead the delivery of enterprise-grade AI Agent solutions. The ideal candidate should have strong experience in…
Added 2 months ago
AI-DNA Project Manager
IgniteTech
Canada
Full-time
…down. If you're a PMP-certified PM who's already integrating GenAI into your daily workflow, this could be the next step in your…
Added 2 months ago
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 18 days ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Senior Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 12 days ago
Staff Software Engineer, AI Agentic Experience (Auth0)
Okta
Toronto, ON
…role is pivotal in extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI…
Added 1 month ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…
Added 25 days ago
Junior Fullstack Developer (Python)
AlayaCare
Montreal, QC
As a Junior Fullstack Developer (Python), you will work closely with experienced developers and product team members to contribute to real product features. You will contribute to…
Added 1 month ago
Sr. Engineer, Machine Learning Software Verification
Qualcomm
Markham, ON
Full-time
1+ years of Python and other scripting programming
Added 3 months ago
Full Stack AI Engineer / Applied AI Engineer
Xsolla
Montreal, Quebec
Full-time
Design and develop full-stack applications that power GenAI applications and platforms
Added 3 months ago
Senior Data Scientist
DAC
Toronto, Ontario
Full-time
Explore AI and GenAI applications to enhance analytical capabilities and client solutions
Added 9 days ago
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
Full-time
Strong experience with Python and common machine learning frameworks.
Added 9 days ago
AI Test Engineer
Royal Bank of Canada
Montreal, QC
Full-time
Very good Python-coding skills, with focus on using GenAI tools for testcase generation and coding
Added 4 months ago
Consultant, Data and AI Analytics
CIBC
Toronto, Ontario
Full-time
…least 2 years of Azure Databricks and at least 1-2 years with GenAI like Microsoft Co-Pilot Studio; coupled with at least 4 years of SQL and Python experience. It’s an asset if you have C#…
Added 4 months ago
Software Dev. Sr. Specialist Advisor
NTT DATA North America
Toronto, Ontario
Full-time
…Domains such as Healthcare/ Finance/ Retail etc. You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise…
Added 4 months ago
AI/ML Architect – Principal
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
Full-time
Enable GenAI and LLMOps adoption, including fine-tuning, RAG (retrieval-augmented generation), prompt engineering, and orchestration frameworks.
Added 4 months ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
Full-time
…championing the team’s evolving role in a rapidly advancing GenAI landscape. - Lead the design and deployment of predictive and generative AI models that power personalization, pricing,…
Added 10 days ago
Senior Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)
Agoda
Vancouver, BC
Full-time
Marketing has successfully developed a strong bottom-up culture of AI adoption, with teams using GenAI to improve analysis, reporting, campaign operations, content development and other…
Added 10 days ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
Hands on current capability to code (at least with Python)
Added 11 days ago
ModiFace AI Researcher
L'Oréal
Toronto, ON
Full-time
Conduct original, publishable research by advancing thestate-of-the-artcomputer vision (CV) andGenerative AI(GenAI)models and algorithms
Added 3 months ago
Python Full Stack Developer (contract)
Capgemini
Montreal, QC
Contract
We are seeking an accomplished Full Stack Developer with expertise in Generative AI (GenAI) technologies to join our team and drive key initiatives forward.
Added 11 days ago
Lead Quality Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…strategies across our technology stack, which spans Cloud platforms, Python, SQL Server, Snowflake, and ETL…
Added 11 days ago
Lead Quality Engineer
RBC
Toronto, ON
Full-time
…strategies across our technology stack, which spans Cloud platforms, Python, SQL Server, Snowflake, and ETL…

DAC

Senior Data Scientist

Toronto, ON, Canada

Pay: The projected compensation range for this position is $90,000 to $130,000.
Job type: Full-time
Experience: 4-5 years of hands-on experience in applied statistics, data science, or quantitative research
Posting language: English
Posted: Jun 2, 2026

Apply About employer

Applications open in a new tab.

Original job description

Move Your Career Forward with DAC a Senior Data Scientist

Who We Are

We are DAC - a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint - from global audiences to individual store locations.

Role Summary

We are seeking a proactive Senior Data Scientist, who will drive the development and implementation of advanced statistical methodologies while maintaining hands-on involvement in model development. This role requires a strategic thinker who can independently develop innovative analytical frameworks, lead client consultations, and contribute to new business development - all while remaining deeply engaged in the technical execution of complex statistical analyses including Marketing Mix Modeling (MMM) and beyond.

The ideal candidate will bring strong statistical expertise with the ability to apply rigorous analytical methods to diverse business challenges. You'll be expected to be both a thought leader and a practitioner, setting methodological standards while personally delivering high-impact analyses.

Key Responsibilities

Strategic Leadership & Innovation

Develop and champion novel statistical methodologies and analytical frameworks tailored to client needs
Lead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendations
Drive new business development by contributing to pitches, proposals, and thought leadership initiatives
Establish best practices for statistical rigor, model validation, and analytical quality across the organization
Proactively identify opportunities to apply advanced analytics to solve emerging business challenges

Hands-On Technical Delivery

Personally build and deploy sophisticated statistical models including MMM, causal inference models, time series forecasting, and experimental design frameworks
Lead end-to-end model development from hypothesis formation through data preparation, model building, validation, and deployment
Conduct advanced statistical analyses using techniques such as hierarchical Bayesian modeling, machine learning, and econometric methods
Design and analyze experiments including A/B tests, geo-lift studies, and synthetic control methods
Develop custom analytical solutions that go beyond standard approaches to address unique client challenges

Client & Stakeholder Management

Present findings and recommendations directly to C-suite executives and senior stakeholders
Build trusted advisor relationships with clients through strategic engagement and thought partnership
Translate technical insights into compelling narratives that drive strategic decision-making
Lead cross-functional collaboration with media, strategy, and creative teams to ensure analytical insights are actionable

Technical Infrastructure & Innovation

Architect scalable analytical solutions using modern data science tools and cloud platforms
Drive automation initiatives to increase efficiency and reproducibility of analyses
Evaluate and implement emerging statistical techniques and technologies
Explore AI and GenAI applications to enhance analytical capabilities and client solutions
Mentor team members on advanced statistical concepts and methodological approaches

Required Qualifications

Education & Experience

Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field
4-5 years of hands-on experience in applied statistics, data science, or quantitative research
Demonstrated track record of developing and implementing analytical approaches to business problems
Experience presenting to senior stakeholders and executive audiences

Technical Expertise

Expert-level proficiency in statistical programming (Python or R) with ability to write production-quality code
Deep understanding of statistical theory including causal inference, experimental design, time series analysis, and Bayesian methods
Proven experience building complex models from scratch, not just using pre-built packages
Strong SQL skills for data extraction and manipulation
Experience with version control (Git) and collaborative development practices

Leadership & Business Acumen

Strong initiative with ability to identify opportunities and drive projects independently
Exceptional communication skills with ability to influence and educate stakeholders
Business development experience including proposal writing and pitch presentations
Strategic thinking with ability to connect analytical insights to business outcomes
Intellectual curiosity and drive to continuously expand methodological toolkit

Preferred Qualifications

Experience with Snowflake or similar cloud data warehouses
Background in marketing analytics, MMM, or media measurement
Experience with causal ML methods (Double ML, causal forests, etc.)
Enthusiasm for AI and GenAI applications in data science
Experience building and mentoring data science teams
Familiarity with marketing channels and performance metrics

What You’ll Get

Professional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.
Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.
Competitive Benefits:

Competitive salary and comprehensive health benefits.
Generous PTO, wellness initiatives and parental leave.
Retirement saving plans.
Opportunities for continued learning and professional development.
A supportive, collaborative, and casual work environment.

How We Work

This role requires three in-office days per week. Remote work is not available for this position.

This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, state, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to [email protected].

At DAC we celebrate your contributions, provide you with opportunities, and support your total well-being. Our offerings include health, vision, dental, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and employee assistance support. Full-time employees are eligible to participate in the DAC benefit programs.

Salary at DAC is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $90,000 to $130,000. The estimate displayed represents the typical salary range for this position and is just one component of DAC’s total compensation package for employees.

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist will develop and implement advanced statistical methodologies while being hands-on in model development. They will lead client consultations and contribute to new business development, ensuring high-impact analyses are delivered.

Requirements

Candidates should have a Bachelor's or Master's degree in a quantitative field and 4-5 years of experience in applied statistics or data science. Strong statistical expertise and experience presenting to senior stakeholders are essential.

Skills

Statistical Programming
Python
R
Statistical Theory
Causal Inference
Experimental Design
Time Series Analysis
Bayesian Methods
SQL
Model Development
Machine Learning
Econometric Methods
A/B Testing
Data Science
Analytical Frameworks
Client Consultation

Benefits

Health Insurance
Vision Insurance
Dental Insurance
Life Insurance
Disability Insurance
Financial Benefits
Retirement Savings Plans
Paid Leave
Professional Development
Tuition Assistance
Work-Life Programs
Employee Assistance Support

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Statistical Methodologies
Marketing Mix Modeling
Causal Inference
Time Series Forecasting
Experimental Design
Hierarchical Bayesian Modeling
Machine Learning
Econometric Methods
A/B Testing
Geo-Lift Studies
Synthetic Control Methods
Cloud Platforms
Automation
AI
GenAI
Statistical Rigor
Model Validation
Analytical Quality
Client Engagement
Thought Leadership
Business Development
Proposal Writing
Pitch Presentations
Cross-Functional Collaboration
Performance Marketing
Statistical Programming
SQL
Version Control
Git

Report this job