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 using Python and R
- Embed model outputs into planning processes
- Ensure interpretability transparency and business alignment
- Establish model validation monitoring and recalibration processes
- Lead scenario simulations and budget optimization analyses
- 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 | BI tools | Bayesian Methods | CCPA | Causal Inference | Curve Modeling | Databricks | Distributed Lag | Distributed Lag Models | Econometrics | GDPR | Geographic Experiments | HIPAA | Hierarchical modeling | LLMs | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Matched Markets | Mix Modeling | Model Monitoring | Multi-Agent | Multi-Agent Systems | Multi-Touch Attribution | Multi-touch) | Next Best Action | Omnichannel analytics | Optimization | PyTorch | Python | R | Response Curve Modeling | Retrieval-Augmented Generation | Scikit-learn | Semantic Search | Snowflake | Synthetic controls | Uplift Modeling | Veeva CRM
Education
Roles
Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Manager | Scientist | Senior Manager
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