Senior Data Scientist - GCP | Remote Impact at Scale

Lever, Inc.

Argentina

A distancia

ARS 91.438.000 - 167.637.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

100% remote
Long-term commitment
Strategic, high-visibility role
Collaborative international team
Career development

Descripción de la vacante

Coderio is seeking a Data Scientist to join a high-impact initiative with one of the leading airlines in Latin America. You will work on meaningful DS challenges at scale, developing solutions that affect millions of passengers and operational decisions.

You will join multidisciplinary teams, collaborating with Product Managers, Engineers, Data Engineers, ML Engineers, and business stakeholders to translate complex problems into production-ready solutions.

Formación

  • Bachelor's or Master's degree in a quantitative field.
  • 3+ years building ML or advanced analytics in production.
  • Strong Python and SQL programming skills.
  • Hands-on experience deploying production-grade ML models.
  • Experience with cloud platforms, preferably GCP.

Responsabilidades

  • Identify opportunities where DS can impact business and design, build, and deploy ML solutions.
  • Develop forecasting and optimization solutions for complex decisions.
  • Apply rigorous experimentation and causal inference to validate hypotheses.

Conocimientos

Machine Learning
Python
SQL
Cloud Platforms
Communication
Ownership & Curiosity

Educación

Bachelor's or Master's in CS/Engineering/Math/Stats/Physics

Herramientas

GCP
MLOps
CI/CD

Descripción del empleo

Coderio is seeking a Data Scientist to join a high-impact initiative with one of the leading airlines in Latin America. You will work on meaningful DS challenges at scale, developing solutions that affect millions of passengers and operational decisions.

You will join multidisciplinary teams, collaborating with Product Managers, Engineers, Data Engineers, ML Engineers, and business stakeholders to translate complex problems into production-ready solutions.

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