Job Description
Role Summary
nLead the DGS Data Science team, owning the delivery of measurement and marketing science models that power Dentsu's client analytics. You will manage model development pipelines, ensure methodological rigor, and drive the productization of MMM, incrementality, RBA, and forecasting models. This is a player-coach role: you build models yourself while also coordinating the team's output and quality standards.
nKey Responsibilities
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- Lead the DGS Data Science team, managing workload allocation, quality standards, and delivery timelinesn
- Own end-to-end model development for MMM, incrementality, RBA, and forecasting across client portfoliosn
- Manage 3rd Party Agentic Analytics client pilot setup: data preparation, model configuration, validation, and handoff to Media Effectiveness teamsn
- Develop GTM strategy POV and recommendations briefs for 3rd Party Agentic Analytics product expansionn
- Establish methodology standards and model validation frameworks that ensure consistency across all client engagementsn
- Partner with the VP,



Data Science on strategic decisions around model architecture, tooling, and team capability buildingn
- Work with the AI Agents team to make models agentic: define APIs, output schemas, and interfaces that agents can consumen
- Train and mentor Data Scientists and Senior Data Scientists on Bayesian methods, causal inference, and client communicationn
- Create reusable model templates, documentation, and training materials that accelerate future client deploymentsn
- Coordinate with Data Architecture on data requirements, pipeline dependencies, and quality standardsn

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nRequired Qualifications
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- 7+ years of experience in data science or quantitative analytics with 2+ years in a leadership/mentorship rolen
- Expert-level knowledge of marketing mix modeling, econometrics, and causal inference methodsn
- Deep proficiency in Bayesian modeling (PyMC, Meridian) and frequentist statisti

📌 Director Data Science (Bengaluru)
🏢 dentsu
📍 Bengaluru