Dentsu X

AssociateManager-DataScientist

Bangalore, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Associate Manager- Data Scientist at Dentsu X. Skills: Marketing Mix Modeling (MMM), econometrics, Python, SQL. Build MMM frameworks. Develop econometric models”

What You'll Achieve.

optimize media investments; improve commercial performance; drive measurable business outcomes

Industry & Context.

Problems you'll solve

problem-solving; structured thinking ability

What They're Looking For.

Must Have

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, statistical modeling, machine learning concepts, Python, R, SQL proficiency, Power BI, Tableau, Looker, Streamlit

Nice to Have

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, LLM-assisted workflows, AI copilots, modern analytics automation tools, retrieval-augmented systems, prompt engineering, AI-assisted coding workflows, scalable and reusable analytics workflows

What You'll Do.

Develop econometric models

Design optimization approaches

Evaluate media impact

Support budget allocation

Build attribution models

Develop KPI frameworks

Support analytics for launch planning

Leverage AI/LLM tools

Build reusable analytics pipelines

Explore GenAI applications

Translate analytical outputs

Collaborate cross-functionally

Create impactful visualizations

How You'll Work.

Team & Collaboration

Collaborate cross-functionally with consulting, media, engineering, and business stakeholders

Communication Scope

communication; storytelling

Full Job Description

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 sta

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