Mediasal is seeking a Data Science Manager to lead the design and implementation of Marketing Mix Models (MMM) aimed at optimizing investment and growth. The role requires a scientific mindset with strong computational and mathematical skills, along with a commercial profile to engage with clients and stakeholders
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 result presentations and building trusted relationships 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
Mediasal is seeking a Data Science Manager to lead the design and implementation of Marketing Mix Models (MMM) aimed at optimizing investment and growth. The role requires a scientific mindset with strong computational and mathematical skills, along with a commercial profile to engage with clients and stakeholders.
Skills & Requirements
Must-have
Marketing Mix Modeling (MMM)
Statistical/econometric modeling
Causality modeling
ETL/ELT pipelines
MLOps and model deployment
Data cleaning and governance
Feature engineering
Budget optimization and scenario planning
Client-facing communication
Python (pandas, scikit-learn)
SQL (BigQuery)
Production model deployment
Nice-to-have
Business development and upselling
Building client trust
Translating value to business metrics
Bayesian modeling (PyMC/Stan)
Causal inference tools
LLM fine-tuning
Key Requirements
6+ years in advanced analytics
2+ years building MMM or attribution models
Degree in Computer Science, Mathematics, Statistics, Physics, or related field
Experience with Airflow/Cloud Composer, dbt, Git, Docker