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 TowersBrand:
ParagonTime Type:
Full timeContract Type:
PermanentSkills Required
- 4+ years of data science experience focused on marketing measurement, econometrics, or causal inference
- Deep expertise in Bayesian modeling (PyMC, Meridian, or equivalent)
- Strong proficiency in Python with production-grade code quality
- Strong proficiency in SQL
- 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
- Experience with Google Meridian or contributions 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
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
