At a Glance
- Tasks: Deliver advanced analytics and decision science solutions to drive commercial success.
- Company: Join Expedia Group, a leader in global travel technology.
- Benefits: Enjoy travel perks, flexible work, generous time-off, and career development resources.
- Other info: Be part of a diverse community that celebrates differences and fosters collaboration.
- Why this job: Shape the future of travel while working with cutting-edge data science tools.
- Qualifications: 3-5+ years in data science; strong analytical and communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
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 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)
This role is expected to demonstrate the following level‑appropriate behaviors:
- 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 eCommerce, 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 (i.e. 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.
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.
Data Scientist III – Strategic Partnerships & Affiliates in City of Westminster employer: Expedia, Inc.
Expedia Group is an exceptional employer that prioritises its employees' well-being and professional growth, offering a comprehensive benefits package that includes travel perks, generous time-off, and flexible work arrangements. Our vibrant and inclusive culture fosters collaboration and innovation, ensuring that every team member feels valued and empowered to contribute to the future of travel. With ample opportunities for career development and a commitment to diversity, joining Expedia means being part of a community where your insights and contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist III – Strategic Partnerships & Affiliates in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Expedia, Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist III – Strategic Partnerships & Affiliates at Expedia, Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Expedia, Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist III – Strategic Partnerships & Affiliates at Expedia, Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist III – Strategic Partnerships & Affiliates in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Expedia, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Expedia, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Expedia, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Expedia, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
