Remote Senior Data Scientist (GCP) — Scale ML & Impact

Coderio; Neuquén; A distancia; ARS 90.547.000 - 181.094.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

Career development

High-visibility role

International team

Descripción de la vacante

Coderio seeks a Sr Data Scientist to join a high-impact initiative across Latin America. You will work with Product Managers and Engineers to build production ML models, forecasting, and optimization solutions that influence passengers and operations.

You will apply experimentation, causal inference, and Generative AI techniques while collaborating with data engineers and ML engineers to deliver production-grade solutions in a remote-friendly setup.

Formación

• Bachelor's or Master's degree in a quantitative field such as CS, Math, Statistics or Physics.
• At least 3 years of production ML or advanced analytics experience.
• Strong Python and SQL programming skills.
• Hands-on production ML model deployment experience.
• Experience with cloud platforms, preferably GCP.
• Ability to communicate complex concepts to diverse audiences.

Responsabilidades

• Identify opportunities where data science creates measurable business impact.
• Design, build, and deploy ML models and forecasting solutions.
• Collaborate with engineers, PMs, and stakeholders to productionize solutions.
• Apply experimentation, causal inference, and Generative AI where appropriate.
• Monitor model performance and iterate to improve outcomes.

Conocimientos

Python

SQL

Machine Learning

GCP

Forecasting

Optimization

MLOps

Communication

Educación

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

Herramientas

Google Cloud Platform (GCP)

Descripción del empleo

Coderio seeks a Sr Data Scientist to join a high-impact initiative across Latin America. You will work with Product Managers and Engineers to build production ML models, forecasting, and optimization solutions that influence passengers and operations.

You will apply experimentation, causal inference, and Generative AI techniques while collaborating with data engineers and ML engineers to deliver production-grade solutions in a remote-friendly setup.