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.
Senior Data Scientist, Analytics
The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our focus on customer-centric innovation enables us to develop products that build loyalty and repeat business. We partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company.
We're looking for a senior-level individual contributor to provide valuable analytics and decision support to drive Expedia's Localization product within Content Product Analytics.
In this role, you will partner with cross-functional teams to contribute to many aspects of product development, including understanding user behavior, A/B experimentation, and problem-solving using statistics and causal inference techniques.
In this role, you will:
- Develop and deploy advanced machine learning models to solve complex business challenges and drive data-informed decision making.
- Design and lead complex A/B and causal experiments to measure the impact of localization changes on traveler engagement and booking conversion; own the experimentation framework for the Localization product area
- Translate complex multilingual data insights into compelling narratives for product, engineering, and executive audiences; influence roadmap prioritization through data.
- Write advanced SQL and Python to build scalable, automated analytics pipelines and self-serve dashboards
- Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale.
- Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.
- Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable.
- Co‑own with Product and business leaders the metric frameworks and decision workflows for your area
Experience and qualifications:
- Bachelor’s degree or higher in Statistics, Economics, Computer Science, Data Science, or a related quantitative field; or equivalent related professional experience
- 8+ years of experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry setting
- You are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit)
- You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring)
- You have advanced proficiency in SQL and Python, with ability to write clean, production-quality code
- You have experience working with large-scale, unstructured text data and LLMs — including prompt design, evaluation (e.g., golden sets, LLM-as-judge), and RAG patterns
- You have demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor
- You have experience with advanced visualization techniques / best practices, and building scalable dashboards
- You operate independently, managed cross-function projects and able to influence product and business strategy through data, and storytelling skills
Please note that this role is only available in the following location: London , in alignment with our flexible work model which requires employees to be in-office at least three days a week. We are unable to offer relocation assistance for this role.
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 .
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
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