Sr. Manager -US Commercialization Decision Intelligence & KDA Solutions
Tasks
- Build and deploy agentic AI decision systems
- Build reusable playbooks templates and modeling frameworks
- Conduct code reviews and establish modeling standards
- Design build validate marketing mix models
- Develop predictive causal and segmentation models
- Develop prototypes and production ready machine learning models
- Ensure reproducible code and scalable deployment frameworks
- Establish model validation monitoring and recalibration processes
- Lead scenario simulations and budget optimization analyses
- Partner with brand and analytics teams to embed model outputs into planning
- Train and mentor junior analysts and data scientists
- Translate technical outputs into business narratives
Perks/Benefits
- N/A
Skills/Tech-stack
Adstock | Agent systems | Apache Spark | Bayesian Modeling | Business Intelligence | CCPA | Causal Inference | Curve Modeling | Data Privacy | Databricks | Distributed Lag | GDPR | Geospatial Experiments | HIPAA | Human-in-the-loop | LLMs | Language Processing | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Matched Markets | Mix Modeling | Model Monitoring | Multi-Agent | Multi-Agent Systems | Multitouch Attribution | Natural Language | Natural Language Processing | Next Best Action | PyTorch | Python | R | Response Curve | Response Curve Modeling | Retrieval-Augmented Generation | Scikit-learn | Security | Semantic layer | Snowflake | Synthetic controls | The Loop | Uplift Modeling
Education
Roles
Data Science | Data Science Manager | Manager | Senior Manager
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