Senior Marketing Analyst

About Dentsu Group (dentsu)

Dentsu Group Inc. (Tokyo: 4324; ISIN: JP3551520004) is a global holding company established on January 1, 2020. The Group operates through two main networks: dentsu japan network, overseeing agencies in Japan, and dentsu international, headquartered in London, managing operations outside Japan.

Operating in around 145 markets with 65,000 professionals, the Dentsu Group delivers integrated, client-centric communications, media, and digital solutions. Its five global leadership brandsCarat, dentsu X, iProspect, Dentsu Creative, and Merklealongside the Dentsu Japan Network, including Dentsu Inc., offer end-to-end services across media, creativity, customer experience, and content, with a strong presence in global sports and entertainment marketing.

Role Overview

As a Mid-Level Data Scientist / AI-Enabled ML Specialist, you will lead the design and deployment of advanced analytics and machine learning models across media measurement, marketing effectiveness, and predictive modelling. This includes MMM, multi-touch and journey modelling, halo effect analysis, regression frameworks, and time-series forecasting.

You will generate insights, drive analytics-led decision-making, and front-end client discussions requiring strong communication, storytelling, and stakeholder management skills. A key part of the role is also accelerating workflows using automation and generative AI.

Key Responsibilities

• Develop and operationalize ML models including Media Mix Modelling (MMM), multi-touch modelling, halo analysis, regression models, time-series forecasting, and predictive modelling to evaluate campaign performance and marketing effectiveness.
• Lead media measurement initiatives, providing deep insight generation and analytical narratives for clients.
• Conduct hypothesis-driven experimentation and lift analysis (A/B testing, brand studies, holdout design).
• Perform competitive benchmarking using external data sources (media, audience, pricing, SOV, SOS, SOM, BH metrics).
• Integrate generative/agentic AI (LLMs, AutoML) into analytics workflows for feature engineering and insight summarization.
• Build automation tools (Dash apps, pipelines, notebooks) to streamline analytics operations.
• Partner with engineering and product teams to productionize ML models in cloud environments using CI/CD, monitoring, and containerization.
• Deliver compelling, insight-driven presentations to clients, simplifying complex models into actionable strategies.
• Manage client relationships and business stakeholders, ensuring clear communication, expectation setting, and consistent delivery.
• Maintain and monitor models for accuracy, stability, and performance drift over time.

Required Skills & Experience

• 36 years of experience in applied data science, marketing analytics, or media analytics.
• Must-have expertise:
• Media Mix Modelling (MMM)
• Multi-touch modelling / attribution principles
• Halo analysis
• Marketing analytics & media measurement
• Insight generation & storytelling
• Regression modelling (linear, non-linear)
• Time-series modelling (ARIMA, Prophet, ML-based)
• Predictive modelling and forecasting
• Client front-ending & stakeholder management
• Strong communication and business translation skills

We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. Beyond recruitment, we strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work.

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