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- Tasks: Join our Product Analytics team to enhance the traveler experience and drive product growth.
- Company: Expedia Group powers global travel with innovative tech and a vibrant, diverse community.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Why this job: Shape the future of travel in a supportive culture where your insights make a real impact.
- Qualifications: University degree in relevant fields with 2-4 years of experience in data analytics.
- Other info: Recognised as a Best Place to Work by Glassdoor in 2024.
The predicted salary is between 43200 - 72000 £ per year.
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 III
Introduction to team:
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 Property Experience and Offers.
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
What you\’ll do:
- You will be expert with Python, Scala or R, or any other major machine learning programming language
- You will design complex experiments and apply common methods such as linear and non-linear aggression, multivariate analysis.
- You will display advanced domain ( i.e., travel, online retail) knowledge, business acumen (understanding the underlying business objectives) and critical reasoning skills.
- You will know and apply data visualization principles consistently resulting in clear and consistent outcomes.
- You will influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear narrative and is concise in what\’s included. Present clearly and engagingly and anticipates questions.
- You will frame Expedia\’s most complex business problems as an analytics problem and concrete set of analytical tasks
- You will automate repeatable work to improve efficiency and scalability
- Provides guidance and coaching to other team members on statistical techniques
Who you are:
- University degree in Mathematics, Science, Statistics , Engineering degree with 2-4 years work experience or 4+ years of experience in a comparable data analytics role with relevant experience
- A high performing individual contributor who consistently applies – and sometimes enhances – the analytics capabilities, principles and playbooks to solve complex business issues and opportunities
- Develop and drive significant and sustained change and performance improvement from data-driven insights in a number of different areas or contexts
#LI-MF2
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. #J-18808-Ljbffr
Data Scientist III, Product Analytics employer: Expedia Group, Inc.
Contact Detail:
Expedia Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist III, Product Analytics
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in the travel industry. Understanding how data analytics is shaping customer experiences at companies like Expedia can give you a competitive edge during discussions.
✨Tip Number 2
Network with current or former employees of Expedia Group on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've applied machine learning techniques. Be ready to explain your thought process, the challenges you faced, and how your contributions led to measurable outcomes.
✨Tip Number 4
Showcase your ability to communicate complex data insights clearly. Practice presenting your findings in a concise manner, as this role requires influencing action through effective storytelling.
We think you need these skills to ace Data Scientist III, Product Analytics
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist III position. Familiarise yourself with the skills needed, such as proficiency in Python, Scala, or R, and the ability to design complex experiments.
Tailor Your CV: Customise your CV to highlight relevant experience in data analytics, particularly in areas like product development and business growth. Emphasise your statistical skills and any experience with data visualisation principles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for travel and how your background aligns with Expedia Group's values. Use clear and engaging language to demonstrate your ability to communicate complex ideas effectively.
Showcase Your Projects: If applicable, include links to projects or portfolios that demonstrate your analytical skills and experience. Highlight any specific achievements that relate to improving user experiences or driving product growth.
How to prepare for a job interview at Expedia Group, Inc.
✨Showcase Your Technical Skills
As a Data Scientist, you'll need to demonstrate your expertise in programming languages like Python, Scala, or R. Be prepared to discuss specific projects where you've applied these skills, and consider bringing examples of your work to illustrate your capabilities.
✨Understand the Business Context
It's crucial to frame your analytical skills within the context of Expedia's business objectives. Research the company’s goals and how your role as a Data Scientist can contribute to improving the traveler experience and driving product growth.
✨Prepare for Problem-Solving Questions
Expect to encounter complex business problems during the interview. Practice framing these as analytics challenges and be ready to outline your approach to solving them using statistical methods and data analysis techniques.
✨Communicate Clearly and Engagingly
Your ability to present findings in a clear and engaging manner is key. Prepare to discuss how you would structure presentations around a narrative, and practice explaining complex concepts in an accessible way for a diverse audience.