Data Scientist, Enterprise Operations
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El puesto
Owns hands-on development of scenario models, simulations, optimization routines, and decision logic for supply chain planning.
Operates scalable tools and automated pipelines to turn complex models into practical guidance.
Produces interpretable outputs such as forecast cones, shock sensitivity charts, risk heatmaps, and buffer recommendations.
Leads cross-regional analyses on risk exposure, stress testing, velocity shifts, cannibalization, and aging demand.
Translates business questions into structured scenario experiments and ensures model validity and explainability.
Mentors specialist-level DS, partners with planners on scenario consumption, and drives continuous improvement in instrumentation and automation.
Operates scalable tools and automated pipelines to turn complex models into practical guidance.
Produces interpretable outputs such as forecast cones, shock sensitivity charts, risk heatmaps, and buffer recommendations.
Leads cross-regional analyses on risk exposure, stress testing, velocity shifts, cannibalization, and aging demand.
Translates business questions into structured scenario experiments and ensures model validity and explainability.
Mentors specialist-level DS, partners with planners on scenario consumption, and drives continuous improvement in instrumentation and automation.
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