Associate Manager- Data Scientist

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