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Tier-1 brand, mid-level Data Scientist role, metro location and 3+ years drive high competition.
Specialized MMM and marketing analytics skills are transferable but favor marketing-heavy industries.
Explicit 3+ years, mandatory MMM experience, advanced degree and strong Python/ML requirements indicate high shortlisting strictness.
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Develop and maintain marketing mix models (MMM) and other marketing analytics models to provide insights and solutions to business stakeholders.
Collaborate with global marketing analytics leads and multiple cross-functional teams to deliver analytics projects and actionable marketing insights.
Manage data collection, validation, processing, and present business recommendations based on model outputs aligned with marketing KPIs.
3+ years overall experience in Data Science, Analytics, or Machine Learning with at least 2 years hands-on experience in Marketing Mix Modelling (MMM).
Advanced degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, Operations Research, or related quantitative field.
Strong coding skills in Python with ability to develop production-level code following best practices.
Not explicitly mentioned: Notice period or mandatory location constraints explicitly stated.
Experience in marketing analytics with deep knowledge of MMM algorithms, including additive/multiplicative models, Bayesian regression, and media budget optimization.
Background in industries like Oil & Gas, Downstream, Mobility, Retail, CPG, or FMCG with exposure to marketing concepts such as adstock, carryover, and saturation.
Capable of working cross-functionally with business SMEs, product owners, data engineers, and stakeholders, effectively translating complex analytic outputs into actionable business insights.