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Tier-1 brand, popular data-scientist role, mid-level experience band, and metro location increase competition.
Core ML and analytics skills are transferable, but MMM specialization raises domain specificity.
Mandatory 3+ years, 2+ years MMM, Python and advanced degree requirements enforce strict screening.
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Develop and maintain marketing analytics models, specifically Marketing Mix Modelling (MMM), to provide actionable insights and solutions for business stakeholders.
Collaborate cross-functionally with marketing, sales, data engineers, and other teams to ensure models align with business KPIs and deliverables.
Support design and execution of advanced analytics projects in finance and operations, focusing on marketing analytics and optimization problems.
3+ years overall experience in Data Science, Analytics, or Machine Learning with 2+ years hands-on experience in Marketing Mix Modelling (MMM).
Advanced university 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; familiarity with statistical and machine learning techniques relevant to MMM.
Industry experience in Oil & Gas, Downstream, Mobility, Retail, CPG, or FMCG desirable (not mandatory).
Experienced in end-to-end MMM solution development including data processing, exploratory data analysis (EDA), modelling short & long-term marketing impact, and optimization.
Skilled in applying advanced statistical and machine learning methods (Bayesian Linear Regression, Decision Trees, Neural Networks, Causal ML) for marketing analytics use cases.
Comfortable working collaboratively across global teams including marketing leads, product owners, IT, data engineering, and analytics professionals to drive project outcomes.