Senior Data Scientist: Remote, High-Impact ML & Forecasting

Coderio; Caviahue; Presencial; ARS 67.946.000 - 120.793.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Career growth

International team

Descripción de la vacante

Coderio is seeking a Data Scientist to join a high-impact initiative with a leading Latin American airline. This role offers the chance to work on meaningful Data Science challenges at scale, building production-ready solutions that affect millions of passengers and critical operational decisions.

You will collaborate with Product Managers, Engineers, Data Engineers, ML Engineers, and business stakeholders to transform complex problems into intelligent, production-ready solutions, with

Formación

• 3+ years of experience developing Machine Learning or advanced analytics solutions in production environments.
• Strong programming skills in Python and SQL.
• Hands-on experience building and deploying production-grade ML models.
• Experience with cloud platforms, preferably GCP.
• Ability to communicate complex technical concepts to technical and non-technical audiences.

Responsabilidades

• Identify opportunities where Data Science can create measurable business impact and design, build, and deploy ML solutions.
• Develop forecasting and optimization solutions to support complex business decisions.
• Apply rigorous experimentation and causal inference techniques to validate hypotheses.

Conocimientos

Python

SQL

Production ML

Communication

Educación

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

Herramientas

GCP

CI/CD

MLOps

Descripción del empleo

Coderio is seeking a Data Scientist to join a high-impact initiative with a leading Latin American airline. This role offers the chance to work on meaningful Data Science challenges at scale, building production-ready solutions that affect millions of passengers and critical operational decisions.

You will collaborate with Product Managers, Engineers, Data Engineers, ML Engineers, and business stakeholders to transform complex problems into intelligent, production-ready solutions, with