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Remote role with a mid-senior data title but niche MMM requirement produces medium competition.
Role demands specialized MMM and marketing measurement experience, limiting cross-industry transferability.
Explicit 8–12 years plus 5+ years MMM and mandatory SQL/Python and vendor experience make filters stringent.
Own the end-to-end Marketing Mix Modeling (MMM) measurement process including model development, validation, refresh, interpretation, and stakeholder adoption.
Collaborate cross-functionally and with external vendors to define business outcomes, review model specifications, and translate MMM outputs into actionable marketing investment insights such as ROI and budget allocation.
Build repeatable MMM processes, documentation, and standards while progressively transitioning MMM capabilities from vendors to internal teams and integrating MMM with other marketing measurement approaches.
8–12 years of experience in marketing analytics, marketing science, econometrics, or a related field.
5+ years of hands-on experience with Marketing Mix Modeling (MMM) including model development, validation, refreshes, and interpretation.
Bachelor’s or Master’s degree in Statistics, Data Science, or related quantitative field.
Proficiency in SQL and Python for data investigation and model-output validation.
Proven ability managing complex marketing measurement projects with external vendors and cross-functional teams without formal direct reports.
Deep expertise in MMM concepts such as adstock/carryover, saturation, multicollinearity, and model calibration with strong analytical judgment for translating results into commercial decisions.
Experience building or scaling marketing measurement capabilities, including transitioning functions from external vendors to internal teams, and familiarity with complementary measurement methods like experimentation and brand communication analysis.