Senior Data Scientist

Merkle Italia; Toronto; On-site; CAD 75,000 - 85,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

RRSP

Paid time off

Job summary

Dentsu is seeking a Senior Data Scientist in Toronto to lead marketing mix modeling across channels, collaborating with cross-functional teams to deliver actionable insights and strategic recommendations. You will manage data collection, cleaning, and modeling workflows while communicating results to non-technical stakeholders.

The role requires strong skills in MMM, regression, Bayesian methods, and time-series forecasting, with experience in analytics tooling and cloud platforms.

Qualifications

• 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 regression analysis, Bayesian modeling, time-series forecasting, and causal inference techniques.
• Proficient with data visualization tools and dashboards (Tableau/Power BI) for clear reporting.
• Experience with cloud platforms like AWS, Google Cloud (BigQuery), or Azure.

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 ETL processes and validation checks.
• Automate data pipelines and model workflows using 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 stakeholders.
• Interpret model results in client context to identify trends and growth opportunities.

Skills

MMM experience

SQL

Python

R

Data viz

Cloud platforms

Marketing analytics

Communication

Project management

Tools

Tableau

Power BI

Plotly

Seaborn

Matplotlib

Job description

Job Description: Dentsu is transforming advertising as a force for growth and a force for good. It has become the destination for employees to cultivate meaningful careers and for brands to accelerate growth like never before.

Media is the largest area of specialism within dentsu international, and is brought to markets globally through three award-winning agency brands: Carat, iProspect and dentsu X. All three are underpinned by a scaled network offering of talent, capabilities, and services to support, grow and transform the world’s leading advertisers.

Working together as the most integrated network, 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. The Senior Data Scientist, will be part of a cross-functional team, specifically focused on developing mixed marketing models for our clients.

The ideal candidate is both well versed in the data modeling process and leading MMM projects: whether it’s data collection, data tidying, statistical modeling, and communicating insights to non-technical teams. This job requires the candidate to be proficient in Advanced Analytics concepts such as marketing mix modeling, regression, etc.

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 (e.g., random forests, gradient boosting).
• 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 (e.g., geo-lift, A/B testing) to validate model outputs and improve attribution accuracy.
• Work closely with the project lead to 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.

Required Skills

• 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

Preferred Qualifications

• 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.

Additional information Vacancy: Is this posting for the purposes of filling an existing vacancy [Y/N ]

The salary range for this position is $75k-$85k. Actual salary within the salary range will be based on a variety of factors including relevant experience, knowledge, and skills.

A range of medical, dental, RRSP, paid time off, and/or other benefits also are available to all permanent employees.

AI Disclosure: [dentsu] utilizes artificial intelligence tools as part of its recruitment process, as during the sourcing and screening stages. All other parts of the dentsu application and hiring processes do not utilize artificial intelligence tools

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 [e-mail] or to begin a conversation about your individual accessibility needs throughout the hiring process.

Location: Toronto Brand: Dentsu Media Time Type: Full time Contract Type: Permanent

About dentsu

For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us Who we are Our Social Impact Our work