Data Scientist II

Overview

Data Scientist II on the Product Team at Expedia Group, analysing traveler servicing and service platform data to improve experiences and operations.

What you'll do

• Analyse traveler servicing and service platform data to identify trends, explain performance changes, and uncover opportunities to improve experiences and operations.
• Build and maintain analyses, dashboards, and recurring metrics that help stakeholders understand service health and outcomes, using consistent metric definitions and data quality checks.
• Support the design and evaluation of experiments, including metric selection, data validation, interpretation, and clear communication of results.
• Apply statistical techniques and exploratory analysis to investigate product questions and assess the likely impact of proposed changes.
• Use SQL and Python, R, or a similar programming language to work with data, automate repeatable analyses, and document methods so work is reproducible.
• Partner with product, engineering, operations, and analytics teammates to clarify questions, present findings and their assumptions, limitations, and implications to non-technical audiences, and translate insights into next steps.

What you'll need

• A bachelor's, master's, or Ph.D. degree in a quantitative, scientific, or related technical field; or equivalent related professional experience.
• Experience applying analytics, data science, statistics, or a related discipline to business or product questions.
• Working proficiency in SQL and Python, R, or a similar analytical programming language.
• Foundational knowledge of statistical analysis, hypothesis testing, and experimental design.
• Experience exploring datasets, validating results, and communicating findings collaboratively through charts, dashboards, or written narratives.
• Ability to break down a defined problem, manage analytical tasks, and seek feedback when assumptions or requirements are unclear, bringing curiosity and attention to detail to your work.

Nice to have

• 4+ years of experience working with e-commerce or clickstream data.
• Exposure to product analytics, digital experimentation, customer support, travel, self-service, or post-booking customer journeys.
• Familiarity with data visualisation tools, cloud data platforms, and version-controlled analytical workflows.
• Exposure to predictive modeling, machine learning, or artificial intelligence-driven systems, tools, or workflows, and an interest in applying them to customer or operational problems.