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Dentsu Aegis Network is seeking a Data Science Manager in CDMX, Mexico, who will lead the design and implementation of Marketing Mix Models (MMM) to optimize investment and growth. The ideal candidate should have a strong background in advanced analytics, econometrics, and client-facing communication.
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Job Summary
Lead the design, implementation, and production of Marketing Mix Models (MMM) to optimize investment and growth.
Serve as the technical point of contact for clients, leading presentations, building trust, and identifying business opportunities.
Collaborate with digital planning, analytics, and account teams to translate complex data into statistically rigorous and reproducible business decisions.
Matching Summary
Match Score: 75
**
Dentsu Aegis Network is seeking a Data Science Manager in CDMX, Mexico, who will lead the design and implementation of Marketing Mix Models (MMM) to optimize investment and growth. The ideal candidate should have a strong background in advanced analytics, econometrics, and client-facing communication.
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Skills & Requirements
Must-have
Marketing Mix Models (MMM)
statistical/econometric modeling
causality analysis
MLOps and production deployment
data cleaning and governance
feature engineering
budget optimization and simulation
client-facing communication
Python and SQL proficiency
BigQuery experience
Nice-to-have
business development
upselling and cross-selling
LLM fine-tuning
advanced inferential statistics
Key Requirements
6+ years in advanced analytics
2+ years building MMM or attribution models
Degree in Computer Science, Math, Statistics, or related field