Data Scientist II

Expedia•Seattle, WA

1d•$112,000 - $156,500

About The Position

Expedia Group is seeking a Data Scientist II to improve the post-booking experience for travelers. The role uses data analysis, experimentation, and statistical methods to answer product and service questions, understand performance, and support evidence-based decisions. Working with experienced data scientists and cross-functional partners, the Data Scientist II takes analytical work from a clearly framed question through findings and recommendations. The position analyzes traveler servicing and service-platform data, builds and maintains analyses, dashboards, and recurring metrics, and supports the design and evaluation of experiments. It applies statistical techniques and exploratory analysis to product questions, uses SQL and an analytical programming language to work with data and automate repeatable analyses, and communicates findings and recommendations to technical and non-technical stakeholders. The role also contributes to data quality, reproducibility, and consistent metric definitions.

Requirements

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 with charts, dashboards, or written narratives.
Ability to break down a defined problem, manage analytical tasks, and seek feedback when assumptions or requirements are unclear.
Curiosity, attention to detail, and collaborative communication skills.
A bachelor's, master's, or Ph.D. degree in a quantitative, scientific, or related technical field, or equivalent related professional experience.

Nice To Haves

Three or more years of experience working with e-commerce and/or clickstream data.
Exposure to product analytics, digital experimentation, customer support, travel, self-service, or post-booking customer journeys.
Familiarity with data visualization tools, cloud data platforms, and version-controlled analytical workflows.
Exposure to predictive modeling or machine-learning methods and interest in applying them to customer or operational problems.

Responsibilities

Analyze 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 partners understand service health and outcomes.
Support experiment design and evaluation, including metric selection, data validation, interpretation, and communication of results.
Apply statistical techniques and exploratory analysis to investigate product questions and assess the likely impact of proposed changes.
Use SQL and a programming language such as Python or R to work with data, automate repeatable analyses, and document methods.
Partner with product, engineering, operations, and analytics teammates to clarify questions, share findings, and translate insights into next steps.
Present analytical results clearly, explaining assumptions, limitations, and implications to non-technical audiences.
Contribute to reliable analytical practices, including data quality checks, reproducible work, and consistent metric definitions.