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For Companies At a Glance
- Tasks: Analyse data to enhance travel experiences and drive product growth.
- Company: Join a leading global travel tech company with a vibrant culture.
- Benefits: Enjoy travel perks, flexible work, generous time-off, and career development.
- Why this job: Shape the future of travel while working with cutting-edge technology.
- Qualifications: Degree in Maths, Science, or Engineering with 2-4 years of experience.
- Other info: Be part of a diverse team that celebrates differences and fosters inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
Team and Role
The Traveler Business Team builds and drives growth for our global consumer businesses—Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard.
We are looking for an experienced Data Scientist to join the Product Analytics team that is working on our Home Page experience. As a Data Scientist, you will help identify insights to improve the traveler experience and drive product growth. You will collaborate with a multi-disciplinary team on a wide range of problems. You will bring scientific rigor and statistical methods to the challenges of business growth and product development.
Responsibilities
- Be expert with SQL, Python or R. Any other major machine learning programming language is a nice to have.
- Design complex experiments and apply common methods such as linear and non-linear regression, multivariate analysis.
- Display advanced domain knowledge (travel, online retail), business acumen, and critical reasoning skills.
- Apply data visualization principles to produce clear and consistent outcomes.
- Influence action and results through clear writing for a wide audience. Structure presentations around a clear narrative; be concise and present clearly and engagingly, anticipating questions.
- Frame Expedia\\\’s most complex business problems as analytics problems with concrete analytical tasks.
- Automate repeatable work to improve efficiency and scalability.
- Provide guidance and coaching to other team members on statistical techniques.
Experience and qualifications
- University degree in Mathematics, Science, Statistics, or Engineering with 2-4 years of work experience, or 4+ years in a comparable data analytics role with relevant experience.
- A high-performing individual contributor who consistently applies and sometimes enhances analytics capabilities, principles, and playbooks to solve complex business issues and opportunities.
- Ability to develop and drive significant and sustained change and performance improvement from data-driven insights in various contexts.
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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.
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Data Scientist III - Home Analytics employer: Expedia Group
Contact Detail:
Expedia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist III - Home Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Expedia Group. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science expertise, especially in SQL, Python, or R. When you get the chance to chat with recruiters, share your work and how it relates to improving traveller experiences.
✨Tip Number 3
Practice your presentation skills! You’ll need to communicate complex data insights clearly. Try explaining your past projects to friends or family, and get their feedback on how engaging and understandable your narrative is.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings there, so keep an eye out for roles that match your skills!
We think you need these skills to ace Data Scientist III - Home Analytics
Some tips for your application 🫡
Show Your Passion for Travel: When you're writing your application, let your love for travel shine through! We want to see how your experiences and insights can contribute to making travel smoother and more memorable for everyone.
Be Clear and Concise: We appreciate clarity in communication. Make sure your application is well-structured and easy to read. Highlight your key skills and experiences that align with the Data Scientist role without rambling on.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Scientist III position. Show us how your background in SQL, Python, or R makes you the perfect fit.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Expedia Group
✨Know Your Data Tools
Make sure you're well-versed in SQL, Python, or R. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Prepare for Problem-Solving Questions
Expect to tackle complex business problems during the interview. Practice framing these issues as analytics challenges and think through how you would approach them using statistical methods. This will highlight your critical reasoning skills and business acumen.
✨Craft a Compelling Narrative
When presenting your past work or case studies, structure your story around a clear narrative. Be concise and engaging, and anticipate questions that might arise. This will demonstrate your ability to communicate insights effectively to a diverse audience.
✨Show Your Collaborative Spirit
Since you'll be working with a multi-disciplinary team, be prepared to discuss how you've collaborated with others in the past. Share examples of how you've influenced action and results through teamwork, showcasing your ability to drive change and performance improvement.