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Added 8 mins ago
R
Operations Specialist I – Security Reference Data
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- Full-time
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Added 21 mins ago
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Added 21 mins ago
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Added 21 mins ago
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QA-UAT
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Added 21 mins ago
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Collaborate with cross-functional teams to understand platform requirements and design efficient solutions.
Added 21 mins ago
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Added 23 mins ago
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…banks Data & AI strategy. This consists of working with cross functional teams like IAM, Network, Cloud Ops, Security, Client partners etc for integration, process automation, platform…
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Added 23 mins ago
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Senior Analyst, Finance Systems
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Added 23 mins ago
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dentsu

Senior Data Scientist

Toronto, ON, Canada

The salary range for this position is $75k-$85k. · Full-time

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Job details

Pay: The salary range for this position is $75k-$85k.
Job type: Full-time
Experience: 5 years of hands-on experience building MMM
Posting language: English
Posted: Oct 8, 2026

Original 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 Canada.Recruitment@dentsu.com 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

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More about this job

Responsibilities

The Senior Data Scientist will develop and refine statistical and econometric models, specifically Marketing Mix Models, to measure marketing effectiveness and optimize ROI. They will also collaborate with cross-functional teams to translate complex analytical outputs into actionable strategic recommendations for clients.

Requirements

Candidates must have at least 5 years of hands-on experience in building Marketing Mix Models and proficiency in SQL, Python, or R. Strong knowledge of statistical methods, data visualization tools, and cloud platforms is required to manage large-scale data processing and model workflows.

Skills

Marketing mix modeling
SQL
Python
R
Regression analysis
Bayesian modeling
Time-series forecasting
Causal inference
Tableau
Power BI
AWS
Google Cloud
Data visualization
Statistical modeling
Project management
Data pipeline automation

Benefits

Medical
Dental
RRSP
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Senior Data Scientist
Marketing Mix Modeling
MMM
Statistical Modeling
Econometric Models
SQL
Python
R
Regression
Bayesian Modeling
Time-series Forecasting
Causal Inference
Tableau
Power BI
AWS
Google Cloud
BigQuery
Azure
ETL
dbt
Airflow
Incrementality Testing
A/B Testing
Geo-lift
Data Visualization
Marketing Analytics
Media Analytics
Project Management
Google Meridian
Meta Robyn

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