Sr. Manager -US Commercialization Decision Intelligence & KDA Solutions
Tasks
- Build and deploy AI decision systems
- Build validation and sensitivity analyses
- Conduct budget optimization analyses
- Conduct code reviews and establish modeling standards
- Create reusable modeling playbooks and templates
- Design and validate Marketing Mix Models
- Develop predictive causal and segmentation models
- Develop prototypes and production ready machine learning models
- Embed model outputs into planning processes
- Ensure AI interpretability and transparency
- Establish model validation monitoring and recalibration
- Lead scenario simulations
- Train and mentor junior analysts and data scientists
- Translate model outputs into business narratives
Perks/Benefits
- N/A
Skills/Tech-stack
Adstock | Agent systems | Agentic AI | Apache Spark | Bayesian Modeling | CCPA | CRM | Causal Inference | Curve Modeling | Data Privacy | Databricks | Distributed Lag Models | Econometrics | GDPR | Geo-experiments | HIPAA | Hierarchical modeling | Human-in-the-loop | Incrementality Modeling | Language Models | Large Language Models | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Matched Markets | Mix Modeling | Model Governance | Model Monitoring | Multi-Agent | Multi-Agent Systems | Multi-Touch Attribution | Multi-touch) | Next Best Action | Omnichannel analytics | Optimization | PyTorch | Python | R | RAG | Saturation Response Curve Modeling | Scikit-learn | Security | Semantic layer | Snowflake | Synthetic controls | Uplift Modeling | Veeva | Visualization Tools | Workflow automation
Education
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