The role focuses on leading the end-to-end design and production of Marketing Mix Models that drive investment optimization and business growth
Job Summary
The role focuses on leading the end-to-end design and production of Marketing Mix Models that drive investment optimization and business growth.
Candidates must possess strong commercial acumen to act as the technical face for clients, presenting complex data insights directly to CMOs and marketing directors.
The position requires orchestrating robust MLOps pipelines including ETL/ELT processes, model versioning, and cloud deployment within a flexible hybrid work environment.
Matching Summary
The role focuses on leading the end-to-end design and production of Marketing Mix Models that drive investment optimization and business growth.
Skills & Requirements
Must-have
6+ years advanced analytics experience
Python pandas scikit-learn statsmodels
SQL BigQuery expertise
MLOps pipeline orchestration Airflow Docker
Econometric modeling regression regularization
Client-facing presentation skills
Data cleaning and governance
Nice-to-have
Bayesian modeling PyMC Stan
Causal inference DoWhy CausalML
Budget optimization simulation Monte Carlo
LLM fine-tuning for documentation
Hierarchical multichannel models
Geo-tests and uplift modeling
Flexible hybrid work schedule
Key Requirements
Bachelor's degree in Computer Science, Math, Statistics, or Physics
Minimum 6 years in advanced analytics
2+ years building MMM or attribution models preferred
Proven experience deploying models to production environments