Move Your Career Forward with DAC a Senior Data Scientist
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.
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.
You’ll be expected to be both a thought leader and a practitioner, setting methodological standards while personally delivering high‑impact analyses.
Lead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendations
Establish best practices for statistical rigor, model validation, and analytical quality across the organization
Hands‑On Technical Delivery
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




Present findings and recommendations directly to C‑suite executives and senior stakeholders
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
Evaluate and implement emerging statistical techniques and technologies
Explore AI and GenAI applications to enhance analytical capabilities and client solutions
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
- 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
Robust SQL skills for data extraction and manipulation
Experience with version control (Git) and collaborative development practices
Strong initiative with ability to identify opportunities and drive projects independently




Business development experience including proposal writing and pitch presentations
Experience with Snowflake or similar cloud data warehouses
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
Professional Growth: Work with top‑tier clients and cutting‑edge tools in the performance marketing industry.
Competitive salary and comprehensive health benefits.
Generous PTO, wellness initiatives and parental leave.
Retirement saving plans.
A supportive, collaborative, and casual work environment.

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

📌 Data Scientist Senior - Remote (Toronto)
🏢 DAC
📍 Toronto