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Niche MMM/pharma specialization reduces applicant density despite metro location.
Requires domain-specific pharmaceutical MMM experience, limiting transferability across industries.
Explicit 2–3 years plus mandatory pharma MMM experience and specific Python/SQL skills enforce strict shortlisting.
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Develop, validate, and interpret regression-based Marketing Mix Models for pharmaceutical and life sciences brands in the US market.
Prepare and transform multi-source data sets including sales, promotional, media, and market data for modeling purposes.
Deliver actionable marketing budget and channel optimization recommendations through client presentations and stakeholder communications in a consulting environment.
2–3 years of hands-on experience in Marketing Mix Modeling with pharmaceutical and life sciences analytics.
Proficiency in Python, strong SQL skills, and advanced Excel and PowerPoint capabilities.
Experience with statistical techniques such as linear, ridge/lasso, and Bayesian regression, multicollinearity assessment, time-series data preparation, and model validation.
Work Experience Required: 2–3 years in Marketing Mix Modeling specific to pharmaceutical/life sciences domain.
Proven ability to independently execute end-to-end Marketing Mix Modeling projects for pharmaceutical clients.
Comfortable working in a fast-paced consulting environment requiring collaboration with cross-functional teams and client-facing communication.
Strong expertise in analyzing HCP promotion, DTC media, digital marketing, and omnichannel promotional data within pharmaceutical analytics.