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Added 3 months ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Build in Python and, where useful, other languages to deliver machine learning systems, APIs, evaluation harnesses, retrieval pipelines, agent workflows, and production services
Added 1 month ago
TH
Manager, Data Science (Askuity division)
The Home Depot
Toronto, ON
- Full-time
Lead and mentor a team of data scientists in developing AI-powered solutions, including Generative AI (GenAI), for Fusion.
Added 1 month ago
P
Senior Applied Researcher AI/ML ( CAD)
PointClickCare
Canada
- Full-time
Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into…
Added 2 months ago
PF
Lead Data Engineer
PureFacts Financial Solutions
Toronto, ON
- $130,000 to $150,000 CAD / year
Leverage GenAI-assisted development tools to accelerate pipeline construction, code optimization, and documentation.
Added 2 months ago
Q
Sr. Engineer, Machine Learning Software Verification
Qualcomm
Markham, ON
- Full-time
1+ years of Python and other scripting programming
Added 2 months ago
A
Sr Associate Software Engineer - Applied AI
Amgen
Burnaby, BC
- Full-time
Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
Added 2 months ago
P
Financial Instruments Valuation and Market Risk Manager
PwC
Toronto, ON
- Full-time
Assisting in the development of leading edge GenAI solutions that transform the delivery of these services, and provide GenAI advice to our clients
Added 23 days ago
PC
Senior AI Engineer - Toronto, ON
Pozent Corporation
Toronto, ON
- Contract
We are seeking an experienced AI Engineer to design and deliver scalable GenAI solutions. This subcontractor role focuses on building production�?ready AI products using Python, React, and…
Added 1 month ago
A
CCaaS Engineer
Accenture
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
Develop AWS Lambda functions and backend integrations in Python, Node.js, or Java.
Added 2 months ago
O
Lead, AI/Machine Learning Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Practical experience with one or more LLM/GenAI frameworks, such as LangChain, LlamaIndex, or Semantic Kernel.
Added 4 months ago
X
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
R
Senior Platform Engineer, AI
RAVL
Toronto, Ontario
- Full-time
…next-generation AI systems across clients. This includes developing GenAI platforms, enabling agent-based architectures, and designing scalable orchestration and integration layers for…
Added 3 months ago
GH
Engineering Manager
Greenspace Health
Remote, Canada
- $140,000 to $155,000 CAD / year
- Full-time
- Remote
…data. Fluency in or ability to quickly ramp up in our stack: Python, JavaScript/TypeScript, Django, PostgreSQL, Redis,…
Added 23 days ago
KG
Gen AI Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
We are looking for an experienced and innovative Generative AI Developer to design, develop, and deploy intelligent AI-driven applications. The ideal candidate should have strong expertise…
Added 3 months ago
BP
AI Model Validator
BNP Paribas
Montreal, Quebec
- Full-time
Programming experience in statistical or mathematical languages such as Python or R, and hands‑on experience with version‑control systems like GitHub.
Added 4 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Explore AI and GenAI applications to enhance analytical capabilities and client solutions
Added 24 days ago
IS
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
- Full-time
Strong experience with Python and common machine learning frameworks.
Added 2 months ago
TD
Technical Lead - Five9
TELUS Digital
Remote, Canada
- $132,000 to $165,000 CAD / year
- Full-time
- Remote
Five9 certification(s) (e.g., Five9 Administrator, Implementation, or Application Developer), or progress toward certification.
Added 4 months ago
C
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 24 days ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
The successful candidate will bring expert-level Python and SQL skills, combined with deep hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD, MLOps, model…
Added 23 days ago
SimCorp Dimension (SCD) Specialist
Munich Re
Toronto, ON
Experience in Cloud infrastructure (MS Azure), API usage is a plus (SQL, Python, JSON)
Added 23 days ago
TA
AI Engagement Lead
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Lead AI/GenAI engagements from discovery and solution definition through development, deployment, and production.
Added 24 days ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
…ambigus en systèmes d'IA fonctionnels. En tant qu'ingénieur GenAI/ML au sein de l'équipe FDE, vous serez amené à…
Added 24 days ago
S
Senior AI Agent Engineer (Agentic AI & Multi-Agent Systems)
Synechron
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Knowledge of productionizing GenAI applications.
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
5+ years of experience building and deploying ML models in production environments, with recent hands-on experience in LLM or GenAI systems.

DAC

Senior Data Scientist

Toronto, ON, Canada

The projected compensation range for this position is $90,000 to $130,000. · Full-time

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Job details

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

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 tacquisition@dacgroup.com.

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.

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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

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