Senior Data Scientist
Job Description
SENIOR DATA SCIENTIST – MARKETING MIX MODELING (MMM)
Full-time Role
Location: Toronto, ON
Industry: Marketing / Advertising / Media Analytics
ABOUT THE ROLE
We are seeking a highly skilled Lead Data Scientist – Marketing Mix Modeling (MMM) to drive advanced marketing measurement initiatives in a fast-paced agency environment. This is a high-impact, high-visibility role where you will lead the development of econometric models that quantify the impact of media and marketing investments across channels.
You will partner with Media, Strategy, Data Engineering, and Client Leadership teams to deliver actionable insights that influence planning, budget allocation, forecasting, and optimization across major client portfolios.
This opportunity is ideal for a senior data science professional who combines deep technical expertise in econometrics with the ability to translate complex models into strategic business recommendations.
KEY RESPONSIBILITIES
Marketing Mix Modeling (MMM) Leadership
- Design, build, and optimize advanced MMM models to measure ROI and incremental impact of media, pricing, promotions, and macro factors
- Develop scalable modeling frameworks and refresh cycles
- Apply advanced methodologies such as Bayesian hierarchical modeling and econometrics
Insight Development & Strategy Integration
- Translate model outputs into strategic investment recommendations
- Run scenario simulations and “what-if” forecasts
- Embed MMM insights into media planning and go-to-market strategies
Cross-Functional Collaboration
- Partner with Data Engineering on media, sales, and competitive data pipelines
- Collaborate with Media Effectiveness, Analytics, and Consumer Insights teams
- Elevate measurement frameworks across the organization
Client-Facing Leadership
- Lead technical discussions in client workshops and performance reviews
- Present insights to C-suite and senior marketing stakeholders
- Support new business pitches and MMM expansion initiatives
Team Development
- Mentor data scientists and analysts
- Contribute to documentation, QA standards, and internal upskilling
MUST-HAVE QUALIFICATIONS
- 6–10+ years of experience in Data Science, Econometrics, or Marketing Analytics
- Direct hands-on ownership of Marketing Mix Modeling (MMM)
- Advanced expertise in statistical modeling and econometrics (time-series, Bayesian methods, causal inference)
- Advanced proficiency in Python or R (preferably both)
- Experience with tools such as PyMC, Stan, statsmodels, Robyn, or similar
- Strong understanding of omnichannel media (TV, CTV, Digital, Social, OOH, Search, Programmatic, Retail Media)
- Experience working with large marketing/media datasets
- Strong client-facing presentation skills
- Ability to lead multiple modeling engagements
NICE-TO-HAVE QUALIFICATIONS
- Agency or consultancy experience
- Experience building scalable MMM refresh frameworks
- Exposure to advanced Bayesian hierarchical modeling
- Experience mentoring junior data scientists
- New business pitch support experience
How to Apply
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