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Data Science Consultant – Market Mix Modeling (MMM)

Angel and Genie · angelandgenie.com
Bengaluru
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The job in short

Market mix modeling consulting.

PythonSQLData scienceMarketing

Details

Found
19 d ago · posted 2026-01-12
Location
Bangalore

Full description

Role Overview We are looking for a highly skilled Market Mix Modeling (MMM) Analytics professional who can independently build robust econometric models and, more importantly, translate model outputs into clear, actionable business insights. The ideal candidate combines strong quantitative expertise with excellent communication and stakeholder management skills, enabling data-driven decision-making for senior business leaders. Key Responsibilities Modeling & Analytics  Design, build, and maintain Market Mix Models using econometric and statistical techniques (e.g., regression, adstock, saturation curves).  Analyze the impact of marketing levers such as TV, Digital, Print, Promotions, Pricing, Distribution, and External Factors on business outcomes.  Conduct scenario planning, budget optimization, and ROI analysis to support marketing investment decisions.  Perform data validation, feature engineering, and model diagnostics to ensure robustness and reliability. Insight Generation & Storytelling  Interpret complex model results and convert them into simple, compelling business narratives.  Develop executive-ready presentations that clearly articulate insights, assumptions, risks, and recommendations.  Answer “so what?” and “what should we do next?” questions for business and marketing stakeholders. Stakeholder Engagement  Work closely with Marketing, Sales, Finance, and Leadership teams to understand business context and objectives.  Present findings and recommendations to senior stakeholders with confidence and clarity.  Act as a thought partner in guiding marketing strategy using data and analytics. Required Skills & Qualifications Technical Skills  Strong hands-on experience in Market Mix Modeling or marketing analytics.  Proficiency in Python / R and advanced SQL.  Solid understanding of statistics, econometrics, and time-series analysis.  Experience working with large, multi-source datasets (media, sales, promotions, external variables).  Familiarity with optimization techniques and simulation-based what-if analysis. Business & Communication Skills  Ability to explain complex analytical concepts in simple, business-friendly language.  Strong written and verbal communication skills; comfortable presenting to senior leadership.  Proven experience in insight storytelling and recommendation framing. Preferred Qualifications  Experience in FMCG, Retail, E-commerce, Telecom, or CPG industries.  Exposure to multi-country or multi-brand MMM engagements.  Experience working in consulting or client-facing roles.

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