The role focuses on leading the end-to-end design and deployment of Marketing Mix Models that drive investment optimization and business growth
Job Summary
The role focuses on leading the end-to-end design and deployment of Marketing Mix Models that drive investment optimization and business growth.
Candidates will serve as the primary technical interface for clients, translating complex statistical findings into actionable executive narratives.
The position requires orchestrating robust MLOps pipelines including ETL/ELT orchestration, model versioning, and performance monitoring in cloud environments.
Matching Summary
The role focuses on leading the end-to-end design and deployment 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 database management
Airflow Cloud Composer dbt Docker
Bayesian hierarchical regression modeling
Causal inference geo-tests synthetic controls
Executive client presentation skills
Nice-to-have
PyMC Stan probabilistic programming
DoWhy CausalML Double ML frameworks
SciPy CVX optimization solvers
Monte Carlo simulation techniques
LLM fine-tuning for documentation
Upselling cross-selling opportunities
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
Production experience with Airflow, Git, and Docker
Strong econometrics knowledge including regularization and multicollinearity