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Added 1 month ago
D
Data Engineer
Dexian
Toronto, ON · Greater Toronto Area, Canada
- Contract
Senior Power BI Developer / Data engineer – Capital & Risk Reporting
Added 1 month ago
KG
Traffic Engineering Lead
KGS Group
Winnipeg, MB
- Full-time
Computer programming experience would be an asset (Python, SQL, etc.)
Added 3 months ago
S
Senior Full-Stack Engineer
SweetTech
Montreal, QC
- Full-time
On the backend, you will build and maintain Python/FastAPI services with clean, well-documented APIs, model data with Pydantic and PostgreSQL-compatible SQL, and use Redis for caching and…
Added 2 months ago
M
GTM Analytics Manager
Marqeta
Remote, Canada
- Full-time
- Remote
…organization. As a GTM Analytics Manager, you'll operate as a senior individual contributor - independently owning high-visibility analytics work across pipeline, forecasting, and…
Added 2 months ago
VR
Forward Deployed Engineer
VSG Recruitment
Remote, Canada
- Full-time
- Remote
Experience with TypeScript and/or Python, React, SQL, APIs, integrations, and modern software architectures.
Added 3 months ago
U
Senior AI Data Developer
Ubisoft
Montreal, QC
- Full-time
Ability to use various tools and programming languages (e.g., Python, SQL, Bash) to integrate systems.
Added 3 months ago
TI
Senior Data Analyst
Teranet Inc.
Toronto, ON
- $106,040 to $114,400 CAD / year
- Full-time
Strong proficiency in SQL, Python, and Excel is required
Added 5 months ago
A
AI Full Stack Developer
Avanade
Toronto, Ontario
- Full-time
We are seeking a talented senior full stack developers or team leads to join our Canadian Apps and Infra team. This AI-enabled role involves leading a team to design, develop, and maintain…
Added 5 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
Added 1 month ago
P
Toronto Technology Audit & Advisory (Financial Services) Senior Consultant
Protiviti
Toronto, ON
- Full-time
Protiviti is looking for a Technology Audit & Advisory Senior Consultant to join our growing Financial Services team.
Added 1 month ago
P
Toronto Technology Audit & Advisory (Financial Services) Manager
Protiviti
Toronto, ON
- Full-time
…will also be a mentor, trainer, and coach to Consultants and Senior Consultants as you facilitate the successful completion of project work plans. By focusing on clients and engagements in…
Added 2 months ago
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Lead Data Engineer
Nasdaq
Toronto, ON
- Full-time
Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
Added 1 month ago
Senior Actuarial Analyst
Aviva
Markham, ON
Proficient in Microsoft Excel. Knowledge of Python and SQL
Added 3 months ago
RC
Senior Quality Assurance Software Developer – Analytics
Ribbon Communications
Montreal, QC
- Full-time
JOB TITLE Senior Quality Assurance Software Developer – Ribbon Analytics
Added 4 months ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
SQL & Programming: Expert proficiency in SQL (Postgres, SQL Server, etc) and strong development skills in Python (Python 3.x).
Added 3 months ago
M
Systems Engineer
Moneris
Toronto, ON
- Full-time
Reporting Relationship: You will report to the Senior Manager, Systems Infrastructure
Added 2 months ago
KS
Data Engineer
Kumaran Systems
Toronto, ON
- Full-time
We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.
Added 5 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 CAD / year
- Full-time
Proficiency in one or more modern programming languages (TypeScript, Python, Go, Ruby, C#, Rust, etc.)
Added 5 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Move Your Career Forward with DAC a Senior Data Scientist
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
Collaborate with senior Data Engineers, Architects, and analytics teams.
Added 3 months ago
Senior Data Analyst
Government of Alberta
Edmonton, AB
…Agreements (LMTAs). Reporting to the Manager, Program Analytics, the Senior Analyst plays a key role in planning, designing, and implementing analytics, monitoring, and evaluation…
Added 3 months ago
R
Staff Software Engineer
RBGlobal
Burnaby, BC
- Full-time
Lead the design of scalable, resilient ETL/ELT data pipelines using dbt, Python, and SQL, establishing patterns and best practices for the team to follow.
Added 1 month ago
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Senior Business Analyst (Investment Valuation Solutions)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Hands-on proficiency with SQL and Python, and the ability to read and reason about code in other languages.
Added 1 month ago
T
Data Analyst (BI Specialist)
Tayco
Toronto, ON · Etobicoke, ON
- $50,000 to $60,000 CAD / year
- Full-time
…manufacturing and business systems into reporting that management and senior management can act on. This position designs, builds, and maintains Power BI reports and data models, writes and…
Added 1 month ago
H(
Senior Business Analyst (Investment Valuation Solutions)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Hands-on proficiency with SQL and Python, and the ability to read and reason about code in other languages.

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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