ML Scientist II: Personalization & Relevance at Scale

11360 Expedia Spain S.L.; Madrid; On-site; EUR 43,000 - 61,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Employee Assistance Program

Wellness and travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group in Madrid seeks a Machine Learning Scientist II to build end-to-end ML solutions for personalized recommendations, learning-to-rank, and relevance optimization. You will work across data preprocessing to production deployment in a fast‑paced, test-and-learn culture.

The role emphasizes collaboration with cross-functional teams, experimental design, and continuous learning to drive business value while maintaining system performance at scale.

Qualifications

• Ph.D. (preferred) or master’s degree in computer science, Machine Learning, Mathematics/Statistics or another related field.
• 2 years of industry experience in applying ML to real-world problems desirable but not required.
• Proficiency in Python, with experience using PySpark and common machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras etc.).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (AWS, GCP).
• Solid understanding of common machine learning algorithms.
• Knowledge of statistics and probability theory.
• Excellent problem-solving skills and ability to learn new concepts quickly.
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.

Responsibilities

• Develop and implement ML models for recommendations & relevance at scale that can handle high-throughput, low-latency personalized recommendations across diverse partner segments within Expedia Group's B2B division.
• Contribute to building and enhancing end-to-end ML solutions, from data preprocessing to production deployment.
• Design and run A/B tests and experiments to continuously improve algorithm performance.
• Stay current with the latest ML techniques and contribute to the team's technical capabilities.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Communicate methodologies and results clearly to both technical and non-technical audiences and work across the tech stack to deploy models.

Skills

Python

PySpark

Machine Learning

Big data

AWS

GCP

Statistics

Communication

Problem solving

Education

PhD or Master’s in CS/ML/Math

Tools

scikit-learn

TensorFlow

Keras

Hadoop

Spark

Job description

Expedia Group in Madrid seeks a Machine Learning Scientist II to build end-to-end ML solutions for personalized recommendations, learning-to-rank, and relevance optimization. You will work across data preprocessing to production deployment in a fast‑paced, test-and-learn culture.

The role emphasizes collaboration with cross-functional teams, experimental design, and continuous learning to drive business value while maintaining system performance at scale.