Data Science Lead

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 awardwinning 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 worlds leading advertisers. Working together as the most integrated network dentsu Media supports Carats EQ and peoplefirst approach dentsu Xs experiencedriven proposition and iProspects fullperformance methodology. dentsu Media also allows greater access to unparalleled integrated marketing solutions through the networks Creative and CXM specialisms.

The Data Science Lead will be part of a crossfunctional 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 its data collection data tidying statistical modeling and communicating insights to nontechnical 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 opensource MMM tools such as Google Meridian Meta Robyn and Lightweight MMM while exploring custom modeling approaches when necessary.

• Explore and implement a variety of statistical and analytical techniques including linear and nonlinear regression Bayesian timeseries 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 whatif analyses and incrementality tests (e.g. geolift 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 clients business and industry to identify relevant trends growth opportunities and actionable strategies.

• Communicate technical concepts effectively to both technical and nontechnical stakeholders through clear storytelling visualizations and presentations.

Qualifications:

• 5 years of handson 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 timeseries 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 largescale data processing.

• Well versed in marketing and media analytics. Experience measuring channels (TV digital search social OOH) and how they influence business outcomes.

• Strong problemsolving 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 nontechnical audiences.

• Experience in project management with the ability to manage timelines deliverables and stakeholder expectations effectively.

• Experience with opensource 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 geolift studies for marketing campaigns.

Additional information: The salary range for this position is $80k90k. 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. 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 or to begin a conversation about your individual accessibility needs throughout the hiring process.

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