Data Scientist II, PLS Analytics

Expedia Group

London

7 months ago

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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.

Data Scientist II, PLS Analytics

Introduction to team

Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.

We’re seeking a high-performing individual contributor with a passion for solving complex problems and uncovering opportunities through data. You’ll operate with a high degree of independence, regularly engaging with stakeholders up to Director level, and leading your own analytical initiatives—whether that’s steering a focused workstream or developing innovative data products.

In this role, you will:

Independently extract data from multiple sources, combining them into required datasets for model building or analytics
Apply probability and statistics to business problems (e.g., AB testing, causal inference), distinguishing between statistically significant results and exploratory analyses
Utilize business acumen and technical knowledge to select appropriate techniques/designs for answering business questions (e.g., AB testing, pre/post analysis, counterfactual inference)
Create clear visualizations that support data stories and enhance audience understanding through presentations and executive summaries
Work with big data, understand potential challenges and solutions, and communicate effectively with both technical and non-technical partners
Collaborate with stakeholders and analytics peers to identify objectives and propose appropriate solutions, demonstrating iterative thinking and identifying next steps based on findings

Experience and qualifications:

Masters, or Bachelors with 4 years work experience OR 5+ years of experience in a comparable data analytics role with relevant experience

Proven track record of delivering data-driven insights and recommendations that drive change or performance improvements across various projects using different analytics techniques
Experience delivering analytics projects across different business areas, demonstrating strong business acumen
Proficiency in probability and statistics
Advanced SQL skills, querying tools (e.g. qubole/big query/hadoop), and concepts such as Store Procedures, Cursors and Temp tables.
Proficiency in Python (knowledge of R is also welcome)
Expertise in Tableau
Strong data visualization skills for communicating results to stakeholders of varying technical levels
Solid understanding of business acumen
Basic knowledge of machine learning concepts and approaches

#LI-SV1

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 .

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 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.

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