We are looking for a Data Scientist with strong analytical foundations and hands-on experience in marketing analytics, especially Marketing Mix Modeling (MMM), attribution, forecasting, optimization and business experimentation.
This role sits at the intersection of data science, econometrics, AI-enabled analytics, and business strategy. You will work with marketing, sales, retail, and consumer datasets to help brands optimize media investments, improve commercial performance, and drive measurable business outcomes.
The ideal candidate combines statistical rigor with modern AI tooling, understands how marketing ecosystems are evolving, and can translate complex analyses into business-ready recommendations for senior stakeholders.
Job Description:
Key Responsibilities
Marketing Mix Modeling & Measurement
- Build, maintain, and enhance MMM frameworks across digital, offline, retail, and trade channels
- Develop econometric models to quantify media effectiveness, incrementality, halo effects, and ROI
- Design approaches for granular optimization across geography, channel, SKU, audience, and funnel stage
- Evaluate short-term vs long-term media impact, saturation, adstock, carryover, and diminishing returns
- Support budget allocation and scenario planning using optimization techniques
Advanced Marketing Analytics
- Build attribution, propensity, segmentation, pricing, and forecasting models
- Develop KPI frameworks across brand, performance, commerce, and retail execution ecosystems
- Support analytics for launch planning, product-market fit, and customer lifecycle optimization
AI-Enabled Analytics & Automation
- Leverage modern AI/LLM tools to accelerate insight generation, code development, QA, documentation, and storytelling
- Build reusable analytics pipelines and modular modeling frameworks
- Explore applications of GenAI agents for automated reporting, scenario generation, simulation, and insight synthesis
- Work with cloud and modern data stack tools to improve scalability and speed-to-insight
Stakeholder Management & Storytelling
- Translate analytical outputs into clear business narratives and strategic recommendations
- Collaborate cross-functionally with consulting, media, engineering, and business stakeholders
- Create impactful visualizations and executive-ready presentations
Required Qualifications
- Bachelor’s / Master’s degree in Statistics, Economics, Mathematics, Engineering, Computer Science, Data Science, or related quantitative field
- 2-5 years of experience in marketing analytics, econometrics, commercial analytics, or applied data science
- Hands-on experience building or supporting MMMs and marketing effectiveness studies
- Strong understanding of statistical modeling and machine learning concepts
Technical Skills
Core Analytics
- Regression modeling, time-series analysis, forecasting, optimization, clustering
- Causal inference, experimentation, Bayesian methods, hypothesis testing
- Understanding of media metrics, marketing funnels, and commercial KPIs
Programming & Tools
- Strong proficiency in Python / R
- SQL proficiency for large-scale data manipulation
- Experience with libraries/frameworks such as: PyMC, Stan, statsmodels, scikit-learn, TensorFlow/PyTorch
- Familiarity with cloud ecosystems such as AWS, GCP, or Azure
- Experience using BI and visualization tools such as Power BI, Tableau, Looker, or Streamlit
Modern AI & Workflow Tooling
- Familiarity with LLM-assisted workflows, AI copilots, and modern analytics automation tools
- Understanding of retrieval-augmented systems, prompt engineering, and AI-assisted coding workflows is a plus
- Experience building scalable and reusable analytics workflows is preferred
What We’re Looking For
- Strong problem-solving and structured thinking ability
- Ability to balance analytical rigor with business practicality
- Curiosity around how AI is transforming analytics and consulting workflows
- Strong communication and storytelling skills
- Ability to work in fast-paced, ambiguous environments
Preferred Experience
Candidates with experience in any of the following will have an advantage:
- FMCG / Retail / Consumer Goods analytics
- Media effectiveness and budget optimization
- Retail execution analytics and demand forecasting
- Multi-touch attribution and customer analytics
- Consulting or client-facing analytics environments
- Building analytics products, accelerators, or internal tools
Location:
Bangalore
Brand:
Dentsu X
Time Type:
Full time
Contract Type:
Permanent
