About this role
The Senior Manager - Data Science serves as a Senior Data Scientist for Dentsu’s measurement and marketing science work. Based at DGS India - Chennai - Anna Nagar Tyche Towers, this full-time, permanent Paragon role owns models spanning marketing mix modeling (MMM), incrementality, forecasting and market design. The role develops and validates models and works with AI Agent Development and Data Engineering to turn them into scalable, cost-efficient, client-facing solutions.
Responsibilities
- Lead client-tailored MMM development using Meridian, Bayesian methods and custom approaches. Design incrementality studies and forecasting models to inform media investment decisions.
- Establish data infrastructure for third-party Agentic Analytics client pilots and prepare points of view and recommendation briefs for go-to-market strategy. Partner with the AI Agents team to make measurement models economical to build, run and interface with.
- Validate and improve deployed AI tools and existing MMM workflows. Train Media Effectiveness teams to set up, use and interpret third-party Agentic Analytics for their use cases.
- Produce client-ready model outputs, insight summaries and strategic recommendations. Develop methodology standards and best practices across the Data Science pillar, and mentor junior data scientists in statistical rigor, validation and client communication.
Required qualifications
- At least 4 years of data science experience focused on marketing measurement, econometrics or causal inference; deep Bayesian modeling expertise with PyMC, Meridian or an equivalent tool.
- Strong Python and SQL proficiency and production-grade coding practices; experience building and deploying MMM, attribution or incrementality solutions.
- Ability to turn complex statistical results into clear business recommendations, collaborate with engineering, product and media strategy teams, communicate effectively with clients, and manage multiple workstreams independently with minimal supervision.
Preferred qualifications
Experience with Google Meridian or open-source measurement tools; a media agency or adtech background; deployment of models as APIs or automated decision systems; familiarity with LLMs or AI agents interfacing with statistical models; and experience training nontechnical teams on analytical tools and outputs.