At a Glance
- Tasks: Uncover insights and drive data-driven decisions to shape the future of travel.
- Company: Join Expedia Group, a global leader in travel technology and innovation.
- Benefits: Enjoy competitive pay, health coverage, travel perks, and flexible working options.
- Other info: Collaborative team environment with opportunities for professional growth and development.
- Why this job: Make a real impact on millions of travellers while growing your career in analytics.
- Qualifications: 2+ years in analytics, strong SQL skills, and experience with data visualisation tools.
The predicted salary is between 58500 - 71500 £ per year.
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Team
Join the Product & Technology Analytics team within our rapidly growing B2B division and play a critical role in shaping the future of our business! As a Data Scientist II, you'll be at the forefront of data-driven decision-making, driving strategic initiatives and unearthing valuable insights to fuel our growth. This role offers the exciting opportunity to influence product development, optimize commercial performance, and collaborate with cross-functional teams to impact our bottom line, all while working on cutting-edge challenges in the dynamic intersection of technology and travel.
In this role, you will:
- Drive impactful insights: Perform deep-dive analysis and statistical tests to uncover key performance drivers for our partners, translating findings into actionable recommendations.
- Transform data into value: Extract, transform, and combine data from diverse sources to build robust models and analyses.
- Translate business needs into analytical solutions: Collaborate with stakeholders to define and scope analytical requests, framing business problems into solvable analytical tasks.
- Visualize and communicate data stories: Create clear, compelling visualizations that translate data into meaningful insights and drive data-driven decision-making.
- Develop and maintain scalable reporting: Automate frequent reporting tasks by building scalable dashboards that provide ongoing performance visibility.
- Build business cases with data: Develop data-driven business cases to support stakeholder goals and strategic initiatives.
Experience and qualifications:
- You have at least 2+ years of analytical experience in a data-rich commercial environment such as online travel, e-commerce, or banking.
- You're a strong communicator, capable of translating complex analyses into easily understandable insights for diverse audiences.
- You're proficient in SQL, with the ability to write queries from scratch, find relevant data, and interpret existing code.
- You're proficient in web analytics, with the ability to use web analytics tools such as Google Analytics or Adobe Analytics.
- You're experienced with data visualization tools like Tableau, enabling you to create compelling and insightful dashboards.
- Experience evaluating product impact using experimentation frameworks and causal inference methods (e.g., A/B testing, quasi-experiments).
- You're a collaborative team player with a proven track record of delivering data-driven insights and recommendations that have driven positive change.
- Python is a nice to have!
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request.
Equal Opportunity
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.
Data Scientist II, Product & Technology Analytics employer: Expedia
Expedia Group is an exceptional employer, offering a dynamic work culture in the heart of London where innovation thrives. As a Data Scientist III, you will benefit from extensive opportunities for professional growth, mentorship, and collaboration with senior stakeholders, all while contributing to impactful projects that shape the future of travel. With a commitment to employee development and a focus on work-life balance, Expedia Group stands out as a rewarding place to advance your career in analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist II, Product & Technology Analytics
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Expedia!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist II, Product & Technology Analytics at Expedia.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Expedia.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist II, Product & Technology Analytics at Expedia, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist II, Product & Technology Analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Expedia, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Expedia. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Expedia
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Expedia!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
