Senior Manager - Data Science
DGS India - Chennai - Anna Nagar Tyche Towers
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time · Permanent — employment source
Time Type: Full time Contract Type:
Contract Type: Permanent
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingOwn and advance Dentsu's measurement and marketing science models across MMM, incrementality, forecasting, and market design.
Lead development of marketing mix models using Meridian and Bayesian methods
Design and run incrementality studies and forecasting models for media decisions
Partner with the AI Agents team to make measurement models agentic and cost-efficient
Set up data infrastructure for agentic analytics client pilots
Create client-ready model outputs, insight summaries and recommendations
From the employer’s posting
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.
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
Partner with the AI Agents team to make measurement models agentic: not expensive to build, run, or interface with
Set up data infrastructure for 3rd Party Agentic Analytics client pilots
Create client-ready deliverables: model outputs, insight summaries, and strategic recommendations
What you’ll bring
All qualificationsCore experience
- 4+ years of experience in data science with focus on marketing measurement, econometrics, or causal inference
- Ability to manage multiple workstreams independently with minimal supervision
- 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
- Experience working with cross-functional teams (engineering, product, media strategy)
Preferred experience
- Experience with Google Meridian or contribution to open-source measurement tools
- 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
Qualification wording
4+ years of experience in data science with focus on marketing measurement, econometrics, or causal inference
Ability to manage multiple workstreams independently with minimal supervision
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
Experience working with cross-functional teams (engineering, product, media strategy)
Experience with Google Meridian or contribution to open-source measurement tools
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
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- 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
Posting record
Report an errorOpen 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 5, 2026 · 118 days ago
- Recorded sightings
- 169
- Last seen by us
- Oct 31, 2026
- Employer says posted
- Jul 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on dentsuaegis.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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:
PermanentSource details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
DGS India - Chennai - Anna Nagar Tyche Towers
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.