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Data Scientist

  • Remote.AR
  • Remote.Colombia
  • Rosario
  • Монтевидео
  • Монтерей
Среден екип (10-20 души)

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Client

Our client is a leading airline in Latin America, committed to delivering frictionless passenger experiences and enabling data-driven strategic decisions across all airport operations.

Наемаме ви в компанията, не в проект

Position overview

We are seeking a Data Scientist to support Onboard Services through advanced analytics and demand modeling, helping optimize the 2027 uniform purchase.

This role focuses on building data-driven demand models and delivering clear, actionable recommendations based on historical usage and replenishment data. You will work closely with non-technical business teams to translate operational needs into analytical solutions with real impact.

Responsibilities

  • Model uniform demand by country, garment type, and size.
  • Analyze historical data (2024–2025) and build planning scenarios.
  • Define safety stock levels and identify critical sizes.
  • Deliver a final analytical output with clearly documented assumptions and calculation logic.
  • Develop reproducible analytical datasets and models using SQL and analytical tools.
  • Create executive-ready summaries and visual outputs for decision-making.
  • Collaborate with non-technical business teams (CX, Procurement, Operations).
  • Promote analytical rigor while working with imperfect or incomplete data.

Requirements

  • Advanced SQL / BigQuery.
  • Excel / Google Sheets at executive level.
  • Experience in demand modeling, population sizing, or similar analytical problems.
  • Ability to structure analytical models from scratch with high autonomy.
  • Strong ability to translate business questions into technical variables.
  • Good judgment when working with imperfect or noisy data.
  • Strong communication skills to explain assumptions and impact clearly.
  • Experience working with large-scale operational data.
  • Fluent in Spanish.
  • Good spoken English (intermediate level for documentation and collaboration).

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