The role involves leading the end-to-end design and production of Marketing Mix Models to drive client investment optimization and business growth
Job Summary
The role involves leading the end-to-end design and production of Marketing Mix Models to drive client 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 offers a hybrid work scheme with flexible hours, requiring collaboration across digital planning, analytics, and account teams.
Matching Summary
The role involves leading the end-to-end design and production of Marketing Mix Models to drive client investment optimization and business growth.
Skills & Requirements
Must-have
6+ years in advanced analytics
Python pandas scikit-learn statsmodels
SQL BigQuery experience
Airflow Cloud Composer dbt Docker
Econometric modeling and causal inference
Cloud deployment and MLOps orchestration
Nice-to-have
Bayesian modeling with PyMC Stan
Geo-tests and synthetic controls
LLM fine-tuning for documentation
Monte Carlo simulation expertise
Executive presentation skills
Commercial upselling opportunities
Key Requirements
Bachelor's degree in Computer Science, Math, or Statistics
Minimum 6 years of experience in advanced analytics
Proven track record of deploying models to production environments