Senior Data Scientist

100 DAC Group / Canada Ltd.

Toronto

On-site

CAD 90,000 - 130,000

Full time

14 days+

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health benefits

PTO

Wellness programs

Parental leave

Retirement plans

Professional development

Tuition assistance

Job summary

100 DAC Group / Canada Ltd. is seeking a Senior Data Scientist to drive development and implementation of advanced statistical methods while hands-on in model building.

You will lead client consultations, shape analytical frameworks, and contribute to new business development with MMM and related techniques. The role requires strategic thinking, strong communication with executives, and the ability to mentor junior team members while delivering high-impact analyses in a fast-paced marketing

Qualifications

Bachelor's or Master's degree in a quantitative field such as statistics or data science.
4–5 years hands-on statistics/data science experience.
Experience presenting to senior stakeholders.
Production-quality Python or R code & SQL skills.

Responsibilities

Lead development and implementation of advanced statistical methods for client projects.
Build and deploy models including MMM, time series, and causal inference.
Present findings to C-suite and senior stakeholders.
Collaborate with cross-functional teams to ensure actionable insights.

Skills

Statistical programming (Python or R)

Leadership

Communication

Business acumen

Mentoring

Education

Bachelor's or Master's in Statistics/Math/CS

Tools

SQL

Git

Snowflake / Cloud data warehouse

A/B testing frameworks

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
Business development experience including proposal writing and pitch presentations
Strategic Thinking
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.

DAC is a leading international media agency helping brands connect with customers and prospects at every stage of the customer journey, from the enterprise level right down to hyper‑local moments since 1972. Recognized by Forrester as one of the world’s most significant growth driving agencies, DAC is passionate about helping businesses build, maintain, and optimize their online presence, leveraging our expertise in