Data Scientist III – Strategic Partnerships & Affiliates in London

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us? To shape the future of travel, people must come first. Guided by our values and leadership agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

The Data Scientist III is a senior individual contributor responsible for delivering advanced analytics, experimentation, and decision science solutions in support of SPA’s commercial objectives.

This Role Focuses On:

• Advanced reporting and dashboarding for SPA stakeholders
• Statistical analysis and experimentation (including incrementality testing)
• Partner, client, and overall commercial performance analysis
• Analytical support for leadership discussions and investment decisions
• Building and maintaining decision science tooling, including AI‑enabled workflows and automations

A Data Scientist III at Expedia is expected to work independently on complex, well‑defined problems, apply sound judgment in selecting analytical approaches, and influence decisions through high‑quality insights and storytelling. While this role does not manage people, it plays a meaningful role in shaping how data is used across the SPA organization.

Key Responsibilities:

• Advanced Reporting & Analytics: Design, develop, and maintain advanced dashboards and performance reporting used by commercial, finance, and leadership stakeholders. Ensure analytical outputs are accurate, scalable, and aligned with agreed commercial KPIs. Proactively identify improvements in reporting structure, clarity, and usability.
• Experimentation & Statistical Testing: Design and analyze commercial experiments, including A/B tests, incrementality tests, and quasi‑experimental analyses. Select and apply appropriate statistical methods to evaluate causal impact and commercial effectiveness. Clearly document and communicate methodology, assumptions, results, and implications for decision‑making.
• Commercial & Partner Performance Analysis: Perform in‑depth analyses of partner and client performance to identify drivers of growth, underperformance, and opportunity. Analyze overall SPA commercial performance to surface trends, risks, and actionable insights for leadership. Collaborate with commercial and finance partners to interpret results and align on conclusions.
• Decision Support & Investment Analytics: Deliver analytical insights to support prioritization and investment decisions discussed with the SPA Leadership Team. Build scenario analyses, forecasts, and frameworks that inform trade‑offs and expected returns. Act as a trusted analytical partner in commercial discussions, grounding recommendations in data and evidence.
• Decision Science Tooling & Automation: Build, maintain, and iterate on decision science tools, models, and reusable analytical assets. Contribute to AI‑powered workflows and automations that improve analytical efficiency and scalability. Identify repeatable analytical processes that can be standardized or automated.

Scope & Level Indicators (Data Scientist III):

• Works independently on complex analyses with limited oversight.
• Owns analytical delivery for defined problem spaces or business areas within SPA.
• Influences stakeholders through insight quality, clarity, and commercial relevance.
• Applies established data science, statistical, and experimentation techniques confidently.
• May mentor or review work of more junior analysts, without formal people management responsibility.
• Contributes to improving analytics practices and tooling, without owning org‑wide analytics strategy.

Qualifications:

• Experience: Typically 3–5+ years of experience in data science, analytics, or a related quantitative role. Bachelor’s degree in a quantitative field such as Analytics, Economics, Computer Science or equivalent professional experience. Master’s degree a plus. Experience in e‑commerce, marketplaces, marketing analytics, or partner‑driven businesses strongly preferred.
• Technical & Analytical Skills: Advanced SQL with experience working on large, multi‑source datasets. Strong foundation in statistics, experimentation, and causal analysis. Proficiency with modern AI based coding tools (e.g., Claude Code). Proficiency in Python or R for analysis and modeling. Experience with data engineering, visualization, and dashboarding tools (e.g., Querybook, JupyterHub, Databricks, Tableau, Power BI, or similar).
• Business & Communication Skills: Strong business judgment with the ability to translate analysis into commercial insights. Ability to communicate complex analytical findings clearly to non‑technical audiences. Comfortable engaging with senior stakeholders through data‑driven narratives. Demonstrates rapid adoption of new tools and techniques to increase speed to insights. Actively seeks and implements process improvements and automation to reduce analysis time.

Accommodation requests: If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. 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.