D
Dentsuaegis
Data Scientist

Senior Manager - Data Science

On-siteSeniorData Scientistposted 4mo ago
✦Role summaryAI-generated

This role focuses on leading advanced marketing science initiatives, blending statistical modeling with AI-driven solutions to optimize client-facing measurement tools and media investment strategies. The candidate will bridge data science, AI agent development, and business strategy to create scalable, cost-effective analytics frameworks for global clients.

Skills required

About this role

Job Description:

Senior Data Scientist

Role Summary

Own and advance Dentsu's measurement and marketing science models across MMM, incrementality, forecasting, and market design. You will develop and validate models, then work with AI Agent Development and Data Engineering to deploy them as scalable, client-facing solutions that are agentic, cost-efficient, and easy to interface with.

Key Responsibilities

  • Lead development of marketing mix models using Meridian, Bayesian methods, and custom approaches tailored to client needs
  • Design and execute incrementality studies and forecasting models that drive media investment decisions
  • Set up data infrastructure for 3rd Party Agentic Analytics client pilots and build POV/recommendations briefs for GTM strategy
  • Partner with the AI Agents team to make measurement models agentic: not expensive to build, run, or interface with
  • Validate and improve existing deployed AI tools and mature MMM workflows serving current clients
  • Train Media Effectiveness teams on 3rd Party Agentic Analytics setup, usage, and interpretation for their specific use cases
  • Create client-ready deliverables: model outputs, insight summaries, and strategic recommendations
  • Contribute to methodology standards and best practices that scale across the Data Science pillar
  • Mentor junior data scientists on statistical rigor, model validation, and client communication

Required Qualifications

  • 4+ years of experience in data science with focus on marketing measurement, econometrics, or causal inference
  • Deep expertise in Bayesian modeling (PyMC, Meridian, or equivalent)
  • Strong proficiency in Python and SQL with production-grade code quality
  • Experience building and deploying MMM, attribution, or incrementality solutions
  • Track record of translating complex statistical outputs into clear business recommendations
  • Experience working with cross-functional teams (engineering, product, media strategy)
  • Strong written and verbal communication skills for client-facing work
  • Ability to manage multiple workstreams independently with minimal supervision

Preferred Qualifications

  • Experience with Google Meridian or contribution to open-source measurement tools
  • Background in media agency or adtech environment
  • Experience deploying models as APIs or automated decision systems
  • Familiarity with LLMs/AI agents and how they can interface with statistical models
  • Experience training non-technical teams on analytical tools and outputs

Location:

DGS India - Chennai - Anna Nagar Tyche Towers

Brand:

Paragon

Time Type:

Full time

Contract Type:

Permanent
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