Job Description:
Director, Data Science
Role Summary
Lead the DGS Data Science team, owning the delivery of measurement and marketing science models that power Dentsu's client analytics. You will manage model development pipelines, ensure methodological rigor, and drive the productization of MMM, incrementality, RBA, and forecasting models. This is a player-coach role: you build models yourself while also coordinating the team's output and quality standards.
Key Responsibilities
- Lead the DGS Data Science team, managing workload allocation, quality standards, and delivery timelines
- Own end-to-end model development for MMM, incrementality, RBA, and forecasting across client portfolios
- Manage 3rd Party Agentic Analytics client pilot setup: data preparation, model configuration, validation, and handoff to Media Effectiveness teams
- Develop GTM strategy POV and recommendations briefs for 3rd Party Agentic Analytics product expansion
- Establish methodology standards and model validation frameworks that ensure consistency across all client engagements
- Partner with the VP, Data Science on strategic decisions around model architecture, tooling, and team capability building
- Work with the AI Agents team to make models agentic: define APIs, output schemas, and interfaces that agents can consume
- Train and mentor Data Scientists and Senior Data Scientists on Bayesian methods, causal inference, and client communication
- Create reusable model templates, documentation, and training materials that accelerate future client deployments
- Coordinate with Data Architecture on data requirements, pipeline dependencies, and quality standards
Required Qualifications
- 7+ years of experience in data science or quantitative analytics with 2+ years in a leadership/mentorship role
- Expert-level knowledge of marketing mix modeling, econometrics, and causal inference methods
- Deep proficiency in Bayesian modeling (PyMC, Meridian) and frequentist statistical methods
- Strong Python and SQL skills with emphasis on reproducible, well-documented analytical code
- Experience managing model development lifecycles from research through production deployment
- Track record of building and leading data science teams in a delivery-focused environment
- Excellent communication skills for translating complex methodology into business recommendations
- Experience with project management and workload planning across multiple concurrent engagements
Preferred Qualifications
- Experience with Google Meridian and modern open-source measurement frameworks
- Background in media agency, adtech, or marketing analytics
- Experience productionizing models (API deployment, automated pipelines, monitoring)
- Familiarity with Databricks and cloud ML platforms
- Experience in DGS/offshore delivery models with cross-timezone team coordination
- Knowledge of LLMs and agentic AI patterns for model interface design
Location:
DGS India - Chennai - Anna Nagar Tyche TowersBrand:
ParagonTime Type:
Full timeContract Type:
PermanentSkills Required
- 7+ years of experience in data science or quantitative analytics
- 2+ years in a leadership/mentorship role
- Expert-level knowledge of marketing mix modeling, econometrics, and causal inference methods
- Deep proficiency in Bayesian modeling and frequentist statistical methods
- Strong Python and SQL skills
- Experience managing model development lifecycles from research through production deployment
- Track record of building and leading data science teams
- Excellent communication skills for translating complex methodology into business recommendations
- Experience with project management and workload planning
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
