Senior Data Scientist

About the Role Senior Data Scientist at Dentsu will own and advance measurement and marketing science models across MMM, incrementality, forecasting, and market design. You will develop and validate models, then collaborate 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. What You'll Do

• 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 What We're Looking For
• 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 Nice to Have
• 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 Compensation & Benefits
• Salary range not disclosed; benefits not specified.