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.

Introduction to the team:

The online travel market never stands still. Within our B2B team we're smack in the middle of it! We are an entrepreneurial start-up operating in the B2B market within the world's biggest travel company. We build the tools and technology that help millions of travelers find the perfect hotels for their next trips. We are the largest and fastest-growing travel affiliate network, working with over 10,000 partners in 33 countries to turn their web traffic into hotel bookings and loyal customers.

The Data Scientist II (Revenue Optimization - Experimentation) is an exciting role within our B2B Analytics Team. This person will primarily be responsible for measuring the impact of our Revenue Optimization initiatives to enhance competitiveness and accelerate revenue growth for Expedia's multi-billion-dollar B2B business. Key responsibilities include the design and measurement of AB-tests, application of causal inference methods and creation of readouts for technical and commercial leaders in the organization. This person will work in a small but extremely impactful team, in charge of advising C-level leaders on Revenue Optimization strategy and tactics. He/she will also work closely with the Machine Learning Science team and the rest of the Analytics team to make sure that decisions (model selection, application of Revenue Optimization strategies, etc) made at all levels are based on factual data.

In this role, you will:

• Extract and combine data from multiple sources to support model building and analytics.
• Design and recommend experiments (A/B, pre/post, causal inference) to enhance the performance of our Revenue Optimization systems
• Apply statistical techniques (frequentist, Bayesian, counterfactual) to experimentation and measurement.
• Collaborate with Machine Learning and Strategy teams to iteratively refine project scope and deliverables.
• Build basic data pipelines and workflows, ensuring reproducibility and documentation.
• Come up with new ideas to improve both our measurement processes and the efficiency of our ML systems

Experience and Qualifications:

• You are a critical thinker with a curious mindset and strong problem-solving abilities.
• You are proficient in SQL and Python, with a solid grounding in probability and statistics (frequentist, Bayesian, non-parametric).
• You are experienced in communicating insights through clear, accessible data visualisations.
• You are someone who values to be respectfully challenged and continuously learn. At the same time, are willing to provide feedback to your colleagues (both junior and senior) aimed at improving our efficiency.
• You are a collaborative team player with a track record of contributing to impactful projects.
• You are educated to degree level (3+ years for Bachelors/Masters or 1+ year for PhDs) with hands-on experience in experimentation.

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

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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.