Data Scientist II, Search Marketing Analytics
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 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 team
This role will be part of the Marketing Measurement Analytics team, which sits as part of the wider Marketing Analytics team. The team looks for curious and hard‑working individuals, with strong statistical and analytical backgrounds, to support in understanding and optimizing Search Marketing channels. This role sits at the center of a very exciting space – as traditional search evolves, AI channels rapidly expand and customer preferences change. This team helps ensure EG captures it’s share of efficient traffic.
In this role you will:
* Work closely with other highly‑skilled data scientists across Expedia Group, partnering with digital marketing teams along with colleagues across Capital Allocation, Finance, and Product.
* Apply your knowledge with SQL, Python or R, or any other major ML programming language.
* Understand business requirements and problems and find analytical solutions to solve or support them.
* 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.
* Partner with cross‑functional teams like Global markets, Business units, Marketing Channels, and Finance to increase the adoption of the team insights.
* Create a feedback loop with marketing teams to use campaign insights to inform future campaign planning and spend optimisation.
* Pick analytically valid approaches, appropriate in terms of level of effort, favouring iterative delivery that tackles the objective, not the ask.
Experience and qualifications:
* You have a Bachelor’s, Master’s or PhD degree in Mathematics, Science, Statistics or a related Technical field; or equivalent related professional experience in a role focused on analytics or data science (e.g. driving significant and sustained change and performance improvement from data‑driven insights).
* You have strong SQL skills, along with proficiency and experience in coding with R or Python.
* You have proven experience in marketing and data analytics, marketing returns and/or Search marketing channels.
* Good knowledge of statistical modelling techniques (previous experience in predictive analytics is a strong plus).
* 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.
* You are comfortable tackling sophisticated analytical and business problems.
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 recognised for award‑winning culture by organisations such as 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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