Lead data science prototypes supporting commercial strategy.
Own applied data science problem framing: translate business goals into clear hypotheses, success metrics, and an analytical approach (forecasting, propensity, segmentation, optimization, NLP).
Design and deliver data science prototypes aligned to commercial strategy, ensuring measurable business impact (cost savings, revenue growth, improved guest experience).
Define and execute measurement and experimentation plans (A/B tests, holdouts, quasi‑experiments) to quantify incremental impact and guide product/business decisions.
Plan and manage the data science / ML project pipeline by developing roadmaps, aligning business priorities, communicating trade‑offs, and coordinating dependencies with partners.
Identify, collect, and validate datasets; define data quality checks and partner with data ...