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Senior Manager - Data Science

Dentsu

Senior Manager - Data Science

full-timePosted: Aug 4, 2026Updated: Sep 3, 2026DGS India - Chennai - Anna Nagar Tyche Towers

Job Description

Job Description:Senior Data ScientistRole SummaryOwn 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 ResponsibilitiesLead development of marketing mix models using Meridian, Bayesian methods, and custom approaches tailored to client needsDesign and execute incrementality studies and forecasting models that drive media investment decisionsSet up data infrastructure for 3rd Party Agentic Analytics client pilots and build POV/recommendations briefs for GTM strategyPartner with the AI Agents team to make measurement models agentic: not expensive to build, run, or interface withValidate and improve existing deployed AI tools and mature MMM workflows serving current clientsTrain Media Effectiveness teams on 3rd Party Agentic Analytics setup, usage, and interpretation for their specific use casesCreate client-ready deliverables: model outputs, insight summaries, and strategic recommendationsContribute to methodology standards and best practices that scale across the Data Science pillarMentor junior data scientists on statistical rigor, model validation, and client communicationRequired Qualifications4+ years of experience in data science with focus on marketing measurement, econometrics, or causal inferenceDeep expertise in Bayesian modeling (PyMC, Meridian, or equivalent)Strong proficiency in Python and SQL with production-grade code qualityExperience building and deploying MMM, attribution, or incrementality solutionsTrack record of translating complex statistical outputs into clear business recommendationsExperience working with cross-functional teams (engineering, product, media strategy)Strong written and verbal communication skills for client-facing workAbility to manage multiple workstreams independently with minimal supervisionPreferred QualificationsExperience with Google Meridian or contribution to open-source measurement toolsBackground in media agency or adtech environmentExperience deploying models as APIs or automated decision systemsFamiliarity with LLMs/AI agents and how they can interface with statistical modelsExperience training non-technical teams on analytical tools and outputsLocation:DGS India - Chennai - Anna Nagar Tyche TowersBrand:ParagonTime Type:Full timeContract Type:Permanent

Locations

  • DGS India - Chennai - Anna Nagar Tyche Towers

Skills Required

  • data science with focus on marketing measurementintermediate
  • Bayesian modelingintermediate
  • Pythonintermediate
  • and deploying MMMintermediate
  • Google Meridianintermediate
  • media agencyintermediate
  • LLMs/AI agentsintermediate

Required Qualifications

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

Preferred Qualifications

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

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

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