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High due to Tier-1 employer, metro location, mid-level data scientist title, and broad skill requirements.
High because role requires specialized marketing analytics and MMM domain expertise, limiting transferability.
High because explicit 3+ years, mandatory 2+ years MMM, advanced degree, and specific technical requirements.
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Develop and maintain marketing analytics models focusing on Marketing Mix Modelling (MMM) to provide actionable marketing insights to business stakeholders.
Collaborate closely with marketing analytics leads, business SMEs, data engineers, and IT to deliver end-to-end data science solutions, from data collection to model evaluation and optimization.
Identify and communicate insights based on analytics outputs to support marketing and sales decision making, including media budget optimization.
3+ years of overall experience in Data Science, Analytics, or Machine Learning.
2+ years of hands-on experience specifically in Marketing Mix Modelling (MMM).
Advanced degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, Operations Research, or related quantitative field.
Strong programming skills in Python with ability to produce production-level code; experience with statistical and machine learning techniques relevant to marketing analytics.
Experienced in applying quantitative and statistical techniques to marketing analytics problems such as attribution studies, pricing analytics, campaign effectiveness, and customer segmentation.
Proficient with advanced MMM methodologies including Bayesian regression and familiarity with open-source MMM tools like PyMC, Robyn, or Meridian.
Comfortable working collaboratively in multi-stakeholder environments including data science leads, product owners, IT, and business functions in large global organizations.