Data Science Manager

Dentsu

Mexico City, Mexico
Hybrid (on-site + remote, with flexible hours)
Marketing mix models (mmm)
Statistical/econometric modeling
Causality and incrementalidad
Dentsu is seeking a Data Science Manager in Mexico City to lead the design and implementation of Marketing Mix Models, optimizing investment and growth. The ideal candidate should have a strong scientific and commercial mindset, with extensive experience in advanced analytics and a proficiency in Python and SQL

Job Summary

  • Lead the design, implementation, and production of Marketing Mix Models (MMM) to optimize investment and growth.
  • Act as the technical point of contact for clients, leading result presentations and building trust with key stakeholders.
  • Collaborate with digital planning, analytics, and account teams to translate complex data into reproducible, statistically rigorous business decisions.

Matching Summary

Match Score: 85

Dentsu is seeking a Data Science Manager in Mexico City to lead the design and implementation of Marketing Mix Models, optimizing investment and growth. The ideal candidate should have a strong scientific and commercial mindset, with extensive experience in advanced analytics and a proficiency in Python and SQL.

Skills & Requirements

Must-have

  • Marketing Mix Models (MMM)
  • Statistical/econometric modeling
  • Causality and incrementalidad
  • MLOps and production deployment
  • Python and SQL proficiency
  • Client-facing communication

Nice-to-have

  • Business development and upselling
  • LLM fine-tuning
  • Advanced inferential statistics

Key Requirements

  • 6+ years in advanced analytics
  • 2+ years building MMM or attribution models
  • Degree in Computer Science, Mathematics, Statistics, or related field
  • Experience deploying models to production
  • Knowledge of econometrics

Work Rights

Not specified

Tailored Resume

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