Role Summary

Lead 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.

Key Responsibilities

Lead the DGS Data Science team, managing workload allocation, quality standards, and delivery timelines

Own end-to-end model development for MMM, incrementality, RBA, and forecasting across client portfolios

Manage 3rd Party Agentic Analytics client pilot setup: data preparation, model configuration, validation, and handoff to Media Effectiveness teams

Develop GTM strategy POV and recommendations briefs for 3rd Party Agentic Analytics product expansion

Establish methodology standards and model validation frameworks that ensure consistency across all client engagements

Partner with the VP, Data Science on strategic decisions around model architecture, tooling, and team capability building

Work with the AI Agents team to make models agentic: define APIs, output schemas, and interfaces that agents can consume

Train and mentor Data Scientists and Senior Data Scientists on Bayesian methods, causal inference, and client communication

Create reusable model templates, documentation,



and training materials that accelerate future client deployments

Coordinate with Data Architecture on data requirements, pipeline dependencies, and quality standards Required Qualifications

7+ years of experience in data science or quantitative analytics with 2+ years in a leadership/mentorship role

Expert-level knowledge of marketing mix modeling, econometrics, and causal inference methods

Deep proficiency in Bayesian modeling (PyMC, Meridian) and frequentist statistical methods

Strong Python and SQL skills with emphasis on reproducible, well-documented analytical code

Experience managing model development lifecycles from research through production deployment

Track record of building and leading data science teams in a delivery-focused environment

Excellent communication skills for translating complex methodology into business recommendations

Experience with project management and workload planning across multiple concurrent engagements Preferred Qualifications

Experience with Google Meridian and contemporary open-source measurement frameworks

Background in media agency, adtech, or marketing analytics

Experience productionizing models (API deployment, automated pipelines, monitoring)

Familiarity with Databricks and cloud ML platforms

Experience in DGS/offshore delivery models with cross-timezone team coordination

Knowledge of LLMs and agentic AI patterns for model interface design

📌 Director Data Science (Bengaluru)
🏢 dentsu
📍 Bengaluru