Sr. Manager -US Commercialization Decision Intelligence & KDA Solutions
Tasks
- Build reusable playbooks templates and modeling frameworks
- Conduct code reviews and establish modeling standards
- Deploy AI driven decision systems
- Design build 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 interpretability transparency and business alignment
- Establish model validation monitoring and recalibration
- Lead scenario simulations and budget optimization
- Train and mentor junior analysts and data scientists
- Translate technical outputs into business narratives
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | Adstock | Agent systems | Apache Spark | BI tools | Bayesian Methods | CCPA | CRM | Causal Inference | Data Validation | Databricks | Distributed Lag | Distributed Lag Models | Econometrics | GDPR | Geo-experiments | HIPAA | Hierarchical models | Human-in-the-loop | LLM | Lag Models | Language Models | Large Language Models | MLOps | Machine Learning | Matching | Monitoring | Multi-Agent | Multi-Agent Systems | Multi-Touch Attribution | Multi-touch) | Next Best Action | Omnichannel analytics | Optimization | Privacy | PyTorch | Python | R | RAG | Recalibration | Retrieval-Augmented Generation | Scikit-learn | Security | Snowflake | Synthetic controls | The Loop | Uplift Modeling | Veeva | Visualization | Workflow automation
Education
Roles
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