We need a resource—ideally a data scientist—who can help prototype and validate this in the client’s environment. Key capabilities:
Statistical / econometric modeling (logistic & log-log regressions, hierarchical shrinkage)
Price-optimization or revenue-management experience
Python data stack (pandas, numpy, statsmodels, scikit-learn or PyMC)
Decision-tree segmentation and clustering
Simulation / scenario analysis for guard-rail testing
Solid SQL & data-engineering fundamentals
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