Data Scientist — AI/ML on Cloud, Flexible Work

Amadeus; Valencia; Presencial; EUR 50.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remuneration package

Global exposure

Learning opportunities

Caring environment

Flexible work model

Diversity & Inclusion

Mission-driven company

Descripción de la vacante

Amadeus is seeking a Data Scientist to develop and implement machine learning and analytics applications, and to design, manage and optimize cloud infrastructure while ensuring performance, reliability and security.

You will transform data into insights, build ML models, and develop scalable solutions for large data, using Python, SQL and AWS. Experience with MLflow, PySpark, and Git is a plus.

Formación

• 3–5 years of experience in Machine Learning.
• Strong proficiency in Python and SQL.
• Hands-on experience with machine learning techniques (regression, classification, time series).
• Experience with AWS and cloud technologies.
• Knowledge of MLflow for model lifecycle management.
• Strong analytical and mathematical mindset.
• Proactive, collaborative and data-driven approach.

Responsabilidades

• Transform data into insights to identify and quantify business opportunities using machine learning, AI, statistics, or high-performance computing.
• Design, develop, validate, and optimize machine learning models and analytical algorithms.
• Develop scalable data science solutions capable of processing large data volumes in distributed environments.
• Apply strong programming skills to implement optimized algorithms and reusable components.
• Manipulate and analyze complex, high-volume data from varied sources using diverse tools.
• Communicate complex results and implications to business stakeholders.
• Actively participate in a community of practice for data scientists.

Conocimientos

Python

SQL

Machine Learning

AWS

MLflow

Time Series Analysis

Pandas

NumPy

Scikit-learn

Git

PySpark

Herramientas

Git

MLflow

AWS

PySpark

Descripción del empleo

Amadeus is seeking a Data Scientist to develop and implement machine learning and analytics applications, and to design, manage and optimize cloud infrastructure while ensuring performance, reliability and security.

You will transform data into insights, build ML models, and develop scalable solutions for large data, using Python, SQL and AWS. Experience with MLflow, PySpark, and Git is a plus.