Data Scientist III, Analytics

Job highlights

• You have a bachelors degree,masters degree,or doctorate in mathematics,statistics,computer science,economics,engineering,or related technical field
• Here,youll do meaningful work that helps millions of people discover,book,and experience travel with more ease,confidence,and joy
• Experience and Qualifications

Job Summary

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, youll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

In this role, you will:

• Lead analytical projects or small work-streams from problem definition through recommendation, delivering insights that influence product and business decisions
• Extract, combine, and transform data from multiple sources to build reliable datasets for analysis, experimentation, and modeling
• Apply statistical methods, including regression, analysis of variance, hypothesis testing, and experiment design, to evaluate impact and solve business problems
• Use Structured Query Language (SQL), Python, R, or similar tools to analyze large datasets, develop scalable analytical approaches, and create clear visualisations
• Partner with subject matter experts and stakeholders to refine business questions, define success measures, and translate findings into practical recommendations
• Document analytical work, share reproducible code, and provide guidance and feedback that helps strengthen the analytics community

Experience and Qualifications

• You have a bachelors degree, masters degree, or doctorate in mathematics, statistics, computer science, economics, engineering, or related technical field; or Equivalent related professional experience
• You have 5+ years of experience in a data analytics or data science role, delivering insights and recommendations that drove measurable change or performance improvement across multiple projects
• You have advanced experience using SQL, Python, R, or similar tools for data analysis, data structuring, transformation, and visualisation
• You have experience selecting measurement approaches for different business questions, including before-and-after analysis, causal inference, multivariate testing, or adaptive experimentation
• You have a strong grounding in statistical concepts and can apply experimentation, regression, and exploratory analysis to business questions
• You communicate analytical findings clearly to stakeholders with different levels of technical expertise and translate data into actionable recommendations
• You are comfortable working independently, managing priorities, and collaborating across functions to move analytical work forward
• You have experience working with large, complex datasets and understand challenges related to data quality, performance, and scalability
• You have working knowledge of machine learning concepts, including supervised learning methods such as linear regression, logistic regression, and clustering
• You create effective visualisations that prioritise clarity, accessibility, and audience needs
• You value iterative delivery, reproducibility, and knowledge sharing through documentation, dashboards, and reusable analytical workflows
• You have experience mentoring teammates, providing thoughtful feedback, and helping build analytical capability across a team

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.