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About the Role
Expedia Group is seeking a talented and experienced Data Scientist III to join the Hotels.com Analytics team. In this role, you will own analytics for key growth domains, including customer growth, loyalty & retention, large-scale merchandizing campaigns, and website performance. You will frame ambiguous questions, design and execute rigorous analyses and experiments, and translate insights into decisions that shape strategic priorities, product roadmap, and marketing tactics. This is a high-impact, individual contributor role where your work will directly influence how millions of travelers discover, choose, and book hotels on Hotels.com.
Responsibilities
- Deep dive into Hotels.com customers and booking data to uncover patterns, diagnose issues, and suggest clear growth and optimization paths.
- Design, conduct, and analyze experiments (A/B tests, Pre/Post) for product and marketing initiatives, leveraging industry best practices and internal experimentation platforms.
- Develop and leverage a best-in-class analytical toolkit (SQL, Python, statistical and causal methods, experimentation frameworks) to extract insights and make data-driven recommendations.
- Collaborate closely with cross-functional teams (Hotels.com Product, Loyalty, Marketing, Supply, as well as other Analytics teams) to identify key business challenges and provide analytical insights and recommendations to support decision-making.
- Drive action to improve Hotels.com KPIs (such as revenue, engagement, retention, and marketplace health), utilizing the 80/20 rule to focus effort on the most impactful results.
- Demonstrate creativity and persistence in overcoming roadblocks.
- Develop and maintain clear and user-friendly dashboards and reports to track and analyze KPIs (e.g., customer value, engagement, campaign outcomes).
- Train stakeholders on the usage of dashboards and reports.
- Be curious and constantly monitor key metrics and trends to proactively suggest actions, test ideas, or highlight business opportunities for Hotels.com.
Requirements
- Mastery of SQL and experience working with complex data ecosystems.
- Proven track record in translating big data into strategic and actionable business recommendations; driving end-to-end processes through data extraction, analysis, insight, implementation, and evaluation.
- Excellent communication and presentation skills, with the ability to present complex information clearly and concisely.
- Robust experience applying statistical methods and experimentation techniques such as A/B testing and Pre/Post analyses.
- Demonstrated experience working with Director+ stakeholders to influence decisions and drive outcomes.
- Solid business acumen and problem-solving abilities.
- Strong technical foundation in analytics and data storytelling.
- Ability to appropriately visualize quantitative analyses for both presentations (e.g., PowerPoint) and reporting purposes (e.g., Tableau).
- Experience in e-commerce or the travel industry is a bonus.
Skills
- SQL
- Python
- Experimentation platforms
- Statistical methods
- Causal methods
- Experimentation frameworks
- Tableau
- PowerPoint
Experience Level
- Data Scientist III
Education Level
- Master's degree in a quantitative discipline such as Mathematics, Data Science, Engineering, or similar is preferred.
About the Company
- Expedia Group helps travelers explore the world, one journey at a time.
- Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.
- Expedia Group connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business.
- Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
- Across its brands and business, Expedia Group helps travelers explore the world with confidence and ease.
Equal Opportunity
- Expedia is committed to creating an inclusive work environment with a diverse workforce.
- All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.