Senior Data Scientist, Measurement & Analytics
Listed on 2026-07-31
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IT/Tech
Data Analyst, Data Science Manager, Business Systems & Technology Analysis, Data Engineering
Saatchi & Saatchi is an advertising agency with the belief that creativity, data, media and technology should all work together, and we use that to influence human behavior and drive success for clients. S&S is one of the world's largest agency networks with 114 offices and more than 6000 employees globally. Here in our Toronto office we work with some of the countries most valued brands including Toyota, Lexus, Quesada and Mondelez just to name a few.
We’re an award winning agency in both creativity and effectiveness, so it’s really important for us here to convert that innovation and the great ideas into real tangible business results for the organization.
The Role
We are seeking a Senior Data Scientist, Measurement & Analytics to lead the development of advanced measurement frameworks, reporting solutions, data infrastructure, and analytical models that support marketing and business decision-making.
This role combines data science, analytics engineering, digital measurement, cloud data architecture, and stakeholder consulting to deliver scalable analytics solutions across web, media, and customer experience initiatives. The successful candidate will transform complex datasets into actionable insights, build reporting automation, develop statistical models, and help drive measurement excellence across the organization.
Key Responsibilities Measurement Strategy & Analytics Leadership- Lead the development and evolution of digital measurement frameworks and KPI strategies.
- Establish measurement methodologies that support business objectives and performance tracking.
- Translate business questions into analytical approaches and actionable recommendations.
- Serve as a subject matter expert on digital measurement, attribution, and customer behavior analytics.
- Develop and maintain regression models, forecasting models, attribution methodologies, and marketing performance analyses.
- Conduct exploratory analyses to identify key business drivers, trends, and optimization opportunities.
- Design measurement approaches for testing and experimentation initiatives.
- Apply advanced analytical techniques to solve complex business problems and support strategic decision-making.
- Design, build, and maintain scalable analytics and reporting solutions.
- Develop automated data pipelines that integrate web, media, and business data sources.
- Build data transformation, validation, and quality assurance processes.
- Support the modernization and automation of analytics infrastructure and reporting workflows.
- Lead the design and development of executive dashboards and reporting solutions.
- Create automated scorecards and performance reporting frameworks.
- Develop scalable data models that reduce manual reporting effort and improve consistency.
- Partner with stakeholders to deliver meaningful and actionable reporting experiences.
- Own measurement architecture and tracking strategy across digital properties.
- Lead implementation, validation, and troubleshooting of analytics and advertising technologies.
- Ensure data collection integrity, measurement accuracy, and reporting quality.
- Partner with internal and external teams to support analytics requirements for new initiatives and platform enhancements.
- Act as a trusted advisor on analytics, reporting, and measurement strategy.
- Present analytical findings and recommendations to senior stakeholders.
- Collaborate with media, search, web, and technology teams to deliver integrated analytics solutions.
- Manage multiple high-priority projects while maintaining quality and delivery standards.
- Google Analytics 4 (GA4)
- SQL
- Python
- Big Query
- Power BI or equivalent business intelligence platforms
- Statistical analysis and modeling
- Regression analysis
- Forecasting and trend analysis
- Dashboard development and reporting automation
- Data visualization and storytelling
- Marketing and digital measurement frameworks
- Conversion tracking and analytics implementation
- API integrations
- Cloud-based analytics architectures
- Marketing performance…
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