Senior Data Scientist, Analytics — Localization & ML

PowerToFly; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Expedia Group is seeking a senior data scientist to provide analytics and decision support for the Localization product within Content Product Analytics. You will partner with cross-functional teams to understand user behavior, design experiments, and apply statistics and causal inference to drive product decisions.

The role involves building scalable data pipelines, mentoring teammates, and safely integrating AI/ML solutions at production scale. London-based with in-office presence required.

Qualifications

• Proven expertise in statistical modeling and experiment design including A/B testing and causal inference.
• Hands-on production-scale ML/NLP model development and deployment experience.
• Strong SQL and Python skills with production-quality code.

Responsibilities

• Develop and deploy advanced machine learning models to solve business challenges.
• Design and lead complex A/B and causal experiments for localization impact.
• Translate multilingual data insights into narratives for product and exec audiences.
• Write SQL and Python to build scalable analytics pipelines and dashboards.
• Collaborate to architect end-to-end data pipelines and intelligent systems.
• Mentor data scientists and engineers, promoting technical excellence.

Skills

Advanced SQL

Python programming

Statistics & experiments

A/B testing

Causal inference

ML/NLP models

Data storytelling

Mentoring

Education

Bachelor’s degree or higher in a quantitative field

MS/PhD preferred

Tools

SQL

Python

Job description

Expedia Group is seeking a senior data scientist to provide analytics and decision support for the Localization product within Content Product Analytics. You will partner with cross-functional teams to understand user behavior, design experiments, and apply statistics and causal inference to drive product decisions.

The role involves building scalable data pipelines, mentoring teammates, and safely integrating AI/ML solutions at production scale. London-based with in-office presence required.