Senior Data Scientist - Marketing Mix Modeling

About the role

Dentsu Media, part of Dentsu International's media division, is looking for a Senior Data Scientist in Toronto to join a cross-functional team focused on developing mixed marketing models for clients. The role covers data collection, tidying, statistical modeling and communicating insights to non-technical teams, and sits within a permanent, full-time position.

Key responsibilities

• Work with the project lead to understand client objectives and design statistical and econometric attribution models.
• Develop, validate and refine Marketing Mix Models to measure marketing effectiveness across channels.
• Build analyses focused on ROI, marginal returns and budget optimization.
• Use open-source MMM tools such as Google Meridian, Meta Robyn and lightweight MMM, and explore custom modeling approaches.
• Apply techniques such as linear and non-linear regression, Bayesian time-series forecasting, hierarchical models and machine learning (random forests, gradient boosting).
• Manage structured and unstructured data with ETL processes and validation checks, and automate pipelines with SQL, Python, dbt or Airflow.
• Run scenario simulations, what-if analyses and incrementality tests (geo-lift, A/B testing).
• Translate model results into actionable insights and communicate them clearly to technical and non-technical stakeholders.

Required profile

• 5 years of hands-on experience building MMM.
• Well versed in marketing and media analytics, including channel measurement (TV, digital, search, social, OOH).
• Project management experience managing timelines, deliverables and stakeholder expectations.
• Excellent communication skills for explaining technical findings to non-technical audiences.

Required skills

• SQL, Python and/or R for data manipulation, modeling and automation.
• Regression analysis, Bayesian modeling, time-series forecasting and causal inference.
• Data visualization with Tableau, Power BI or Python libraries (Plotly, Seaborn, Matplotlib).
• Cloud platforms such as AWS, Google Cloud (BigQuery) or Azure.

Preferred: open-source MMM frameworks, marketing attribution and budget allocation knowledge, and experiment design experience (A/B testing, geo-lift). Salary range $75k-$85k; benefits available to permanent employees.