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About the Role
The Senior Data Scientist will be part of a cross-functional team focused on developing mixed marketing models for clients. The ideal candidate is well-versed in the data modeling process and leading MMM projects, from data collection and tidying to statistical modeling and communicating insights to non-technical teams. This role requires proficiency in Advanced Analytics concepts such as marketing mix modeling and regression.
Responsibilities
- Collaborate with the project lead to understand client objectives and design robust statistical and econometric attribution models.
- Develop, validate, and refine statistical and econometric models, including Marketing Mix Models, to measure marketing effectiveness across channels.
- Build statistical analyses aligned with business needs, focusing on ROI, marginal returns, and budget optimization.
- Utilize open-source MMM tools such as Google Meridian, Meta Robyn, and Light-weight MMM, while exploring custom modeling approaches when necessary.
- Explore and implement a variety of statistical and analytical techniques, including linear and non-linear regression, Bayesian time-series forecasting, hierarchical models, and machine learning algorithms.
- Prepare and manage structured and unstructured data sources, ensuring data quality through effective ETL processes and rigorous validation checks.
- Automate data pipelines and model workflows using tools like SQL, Python, dbt, or Airflow to improve efficiency and scalability.
- Conduct scenario simulations, what-if analyses, and incrementality tests to validate model outputs and improve attribution accuracy.
- Translate complex analytical outputs into actionable insights and strategic recommendations for clients and industry stakeholders.
- Interpret model results within the context of the client’s business and industry to identify relevant trends, growth opportunities, and actionable strategies.
- Communicate technical concepts effectively to both technical and non-technical stakeholders through clear storytelling, visualizations, and presentations.
Requirements
- 5 years of hands-on experience building MMM
- Proficient in SQL, Python, and/or R for data manipulation, statistical modeling, and automation.
- Strong knowledge of statistical methods, including regression analysis, Bayesian modeling, time-series forecasting, and causal inference techniques.
- Proficient with data visualization tools such as Tableau, Power BI, or Python libraries (Plotly, Seaborn, Matplotlib) to create clear, impactful dashboards and reports.
- Proficient with cloud platforms like AWS, Google Cloud (BigQuery), or Azure for large-scale data processing.
- Well versed in marketing and media analytics. Experience measuring channels (TV, digital, search, social, OOH) and how they influence business outcomes.
- Strong problem-solving skills with the ability to approach complex business challenges analytically and strategically.
- Excellent communication and presentation skills, with the ability to convey technical findings to non-technical audiences.
- Experience in project management, with the ability to manage timelines, deliverables, and stakeholder expectations effectively.
- Experience with open-source MMM frameworks and advanced machine learning techniques.
- Knowledge of marketing attribution models, budget allocation strategies, and optimization techniques.
- Background in experiment design, including A/B testing and geo-lift studies for marketing campaigns.
Skills
- Marketing Mix Modeling (MMM)
- Regression Analysis
- Bayesian Time-Series Forecasting
- Hierarchical Models
- Machine Learning Algorithms
- SQL
- Python
- R
- dbt
- Airflow
- ETL Processes
- Data Visualization
- Tableau
- Power BI
- Plotly
- Seaborn
- Matplotlib
- AWS
- Google Cloud (BigQuery)
- Azure
- Marketing Analytics
- Media Analytics
- Project Management
- Experiment Design
- A/B Testing
- Geo-lift Studies
Location
- Toronto
Work Type
- Full time
- Permanent
Experience Level
- Senior
Salary/Compensations
- $75k-$85k
Benefits
- Medical
- Dental
- RRSP
- Paid time off
About the Company
- Dentsu is transforming advertising as a force for growth and a force for good, becoming a destination for employees to cultivate meaningful careers and for brands to accelerate growth. Media is the largest area of specialism within dentsu international, brought to markets globally through award-winning agency brands: Carat, iProspect and dentsu X. These brands are underpinned by a scaled network offering of talent, capabilities, and services. Dentsu Media supports Carat’s EQ and people-first approach, dentsu X’s experience-driven proposition and iProspect’s full-performance methodology. Dentsu Media also allows greater access to unparalleled integrated, marketing solutions through the network’s Creative and CXM specialisms.
Equal Opportunity
- We know through experience that different ideas, perspectives and backgrounds foster a stronger and more creative work environment that delivers better business results. We strive to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work. We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact Canada.Recruitment@dentsu.com or to begin a conversation about your individual accessibility needs throughout the hiring process.