Senior Data Scientist
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-07-01
Listing for:
DAC Group / Canada Ltd.
Full Time
position Listed on 2026-07-01
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 field4-5 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…
Position Requirements
10+ Years
work experience
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