Associate Director, Commercial AI and Advanced Analytics
Princeton Pike - NJ, United States
USD 167K-203K Mid-level Full Time
Tasks
- Build MMx model pipelines
- Conduct model reviews and audits
- Define key business questions framework
- Design causal and driver based recommendation logic
- Develop marketing mix models
- Document modeling assumptions and limitations
- Ensure model explainability and auditability
- Execute key driver analysis
- Implement causal and optimization analytics
- Maintain data privacy and AI governance
- Operationalize always on analytics pipelines
- Present insights to business stakeholders
- Quantify incremental impact
- Support brand planning and budget optimization
- Translate model outputs into business recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
Adstock | Bayesian statistics | Causal Inference | Data Quality | Data quality monitoring | Databricks | Diminishing Returns | Distributed Lag | Distributed Lag Models | Feature Engineering | Geo-experiments | Hierarchical modeling | Incrementality Measurement | Lifecycle Management | MLOps | Marketing Mix | Marketing Mix Modeling | Matched Market | Matched market tests | Mix Modeling | Model Lifecycle | Model Lifecycle Management | Nonlinear Optimization | Python | Quality monitoring | R | SQL | Snowflake | Synthetic control | Uplift Modeling | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Regions
Countries
States
Cities
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