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Senior Data Scientist – Marketing Mix Optimization (MMO Enhancements)

Blend360·Worldwide·Hyderabad, IN·senior
pythonmldata science
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Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are looking for a Senior Data Scientist with strong expertise in Marketing Mix Optimization (MMO) to design, enhance, and optimize marketing investment strategies using advanced statistical modeling, machine learning, and optimization techniques. The ideal candidate will have experience building scalable optimization solutions that help maximize marketing ROI and improve budget allocation across channels. This role requires excellent Python programming skills, strong statistical foundations, and the ability to translate complex analytical findings into actionable business recommendations. Key Responsibilities Design, develop, and enhance Marketing Mix Optimization (MMO) solutions for marketing budget allocation and investment planning. Build statistical and machine learning models to quantify marketing effectiveness and optimize media investments. Develop optimization frameworks that recommend budget allocation across multiple marketing channels under business constraints. Analyze historical marketing performance, customer behavior, and sales data to identify optimization opportunities. Create scenario planning and what-if simulations to evaluate different marketing investment strategies. Collaborate with business stakeholders to translate analytical findings into actionable recommendations. Develop scalable Python-based a

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