The purpose of this role is to lead and manage customer analysis deep dives,
execute the strategies outlined by senior leadership, and manage the
day-to-day communication with clients.

Job Description:

Role Summary

Join a team that builds the intelligence layer powering Dentsu's measurement and
marketing science capability. You will support the development and deployment of
MMM, incrementality, and forecasting models that get operationalized as
scalable, agentic solutions. This role combines rigorous statistical methodology
with a product orientation.

Key Responsibilities
Support development of marketing mix models (MMM), incrementality analyses,
and forecasting models using Bayesian methods and Meridian
Prepare and validate data for 3rd Party Agentic Analytics client pilots,
ensuring data quality and completeness for model inputs
Build and maintain model pipelines that are reproducible, documented, and
ready for productization
Collaborate with Senior Data Scientists on model validation, calibration, and
client-ready output generation




Create data visualizations and model output summaries for client-facing
deliverables
Work with the AI Agents team to package models as agentic, low-cost-to-run
solutions
Document methodologies, assumptions, and model limitations for internal and
client audiences
Support Media Effectiveness teams with model interpretation and training
materials

Required Qualifications
3+ years of experience in data science, applied statistics, or quantitative
marketing
Robust foundation in statistics, regression analysis, and causal inference
Proficiency in Python (pandas, scikit-learn, stats models) and SQL
Experience with Bayesian modeling frameworks (PyMC, Meridian, or similar)
Understanding of marketing measurement concepts (attribution, incrementality,
media mix)
Comfort working with large, messy real-world datasets
Solid written communication skills for documenting methodology and results
Ability to work ind

📌 Manager Data Science Chennai (India)
🏢 dentsu
📍 India