Advance statistical modeling at DAC as a Senior Data Scientist, using Python or R and working three days weekly in-office. Build analyses that inform business decisions.

This senior position combines strategic leadership with hands-on technical delivery. You will develop analytical frameworks, conduct Marketing Mix Modeling, and apply causal inference, forecasting, and experimental design. You will also consult with clients, present recommendations, and contribute to proposals and thought leadership.

Key Responsibilities:
Develop statistical methodologies and analytical frameworks for client needs
Build, validate, and deploy complex statistical models
Lead client consultations and present recommendations to senior stakeholders




Design experiments including A/B tests and geo-lift studies
Establish analytical quality and statistical validation practices

Requirements:
Bachelor’s or Master’s degree in a quantitative field
Four to five years of applied statistics or data science experience
Expert Python or R proficiency with production-quality coding
Robust SQL skills and experience with Git
Knowledge of causal inference, forecasting, and Bayesian methods

Apply statistical expertise, Marketing Mix Modeling, and client consultation skills as DAC’s Senior Data Scientist.

📌 Senior Data Scientist Marketing Analytics Toronto
🏢 DAC
📍 Toronto