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 global hybrid work setup (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 I, Analytics
Introduction to team:
The Expedia Group (EG) Analytics team sits within the Traveler & Marketing Analytics team, working on tackling sophisticated analytical and business problems with a focus on statistics and data analytics. In this role, your keen interest in marketing analytics will help us solve tough problems and influence positive change.
You will be responsible for devising, developing and maintaining methods and tools to help optimize our marketing campaigns and capital allocation process. This could involve designing and analysing A/B tests, developing testing methodologies to gather insight from a marketing test, or using machine learning methods to help predict returns where testing is not possible.
You will work closely with other highly-skilled data scientists across Expedia Group, partnering with our digital marketing teams, as well as colleagues across Finance and Product.
In this role you will:
Apply your knowledge of SQL, Python or R on a daily basis
Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions
Constantly assess the status quo, find and discuss opportunities for optimisation, simplification and acceleration of current processes
Clearly and confidently articulate decision-making rationale, solutions, methodologies and frameworks to team members and both technical and non-technical partners
Pick analytically valid approaches, appropriate in terms of level of effort, favouring iterative delivery that tackle the objective, not the ask
Prioritize multiple tasks and workstreams simultaneously and own projects end to end
Experience and qualifications:
You have a Bachelor's or Master’s degree in Mathematics, Science, Statistics or Economics, or equivalent related professional experience
You have experience with SQL, with experience in Python / PySpark / R to structure, transform and visualize big data being a plus
Knowledge of statistics and modelling techniques
Excellent analytical problem-solving skills and can-do attitude
Ability to communicate sophisticated concepts concisely and clearly
Display strong domain knowledge, business acumen and critical reasoning skills
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.
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