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For Companies At a Glance
- Tasks: Dive into data, solve complex problems, and create impactful analytics solutions.
- Company: Join Expedia Group, a leader in global travel technology and innovation.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Why this job: Shape the future of travel in a diverse, inclusive culture where your contributions matter.
- Qualifications: Masters or 4 years experience in data analytics; strong SQL, Python, and Tableau skills required.
- Other info: Recognised as a Best Place to Work by Glassdoor and Forbes.
The predicted salary is between 52000 - 78000 £ 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 II, PLS Analytics
Introduction to team
Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group\’s innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.
We’re seeking a high-performing individual contributor with a passion for solving complex problems and uncovering opportunities through data. You’ll operate with a high degree of independence, regularly engaging with stakeholders up to Director level, and leading your own analytical initiatives—whether that’s steering a focused workstream or developing innovative data products.
In this role, you will:
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Independently extract data from multiple sources, combining them into required datasets for model building or analytics
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Apply probability and statistics to business problems (e.g., AB testing, causal inference), distinguishing between statistically significant results and exploratory analyses
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Utilize business acumen and technical knowledge to select appropriate techniques/designs for answering business questions (e.g., AB testing, pre/post analysis, counterfactual inference)
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Create clear visualizations that support data stories and enhance audience understanding through presentations and executive summaries
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Work with big data, understand potential challenges and solutions, and communicate effectively with both technical and non-technical partners
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Collaborate with stakeholders and analytics peers to identify objectives and propose appropriate solutions, demonstrating iterative thinking and identifying next steps based on findings
Experience and qualifications:
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Masters, or Bachelors with 4 years work experience OR 5+ years of experience in a comparable data analytics role with relevant experience
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Proven track record of delivering data-driven insights and recommendations that drive change or performance improvements across various projects using different analytics techniques
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Experience delivering analytics projects across different business areas, demonstrating strong business acumen
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Proficiency in probability and statistics
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AdvancedSQL skills, querying tools (e.g. qubole/big query/hadoop), and concepts such as Store Procedures, Cursors and Temp tables.
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Proficiency inPython (knowledge of R is also welcome)
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Expertise inTableau
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Strong data visualization skills for communicating results to stakeholders of varying technical levels
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Solid understanding of business acumen
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Basic knowledge of machine learning concepts and approaches
#LI-SV1
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 II, PLS Analytics employer: Expedia Group
Contact Detail:
Expedia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist II, PLS Analytics
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and Tableau. Being able to demonstrate your proficiency in these areas during interviews will set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your previous projects where you've applied probability and statistics to solve business problems. Be ready to explain your thought process and the impact of your findings on the business, as this shows your analytical skills and business acumen.
✨Tip Number 3
Network with current or former employees of Expedia Group, especially those in analytics roles. They can provide valuable insights into the company culture and the expectations for the Data Scientist II position, which can help you tailor your approach.
✨Tip Number 4
Practice explaining complex data concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders. This skill is crucial for the role and can be a key differentiator in your interview.
We think you need these skills to ace Data Scientist II, PLS Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist II role. Emphasise your proficiency in SQL, Python, and data visualisation tools like Tableau, as well as any experience with big data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of Expedia Group's mission. Mention specific projects where you've delivered data-driven insights and how they relate to the responsibilities of the role.
Showcase Your Analytical Skills: In your application, provide examples of how you've applied probability and statistics to solve business problems. Highlight any experience with AB testing or causal inference, as these are key aspects of the role.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail. Prepare to explain your experience with SQL queries, data extraction, and visualisation techniques. Consider including a brief project summary that demonstrates your analytical capabilities.
How to prepare for a job interview at Expedia Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and data visualisation tools like Tableau. Be prepared to discuss specific projects where you've applied these skills to solve complex problems or drive insights.
✨Demonstrate Business Acumen
Understand the business context of your analytical work. Be ready to explain how your data-driven insights have led to performance improvements or strategic decisions in previous roles.
✨Prepare for Statistical Questions
Since the role involves applying probability and statistics, brush up on key concepts such as AB testing and causal inference. Be prepared to discuss how you've used these techniques in past projects.
✨Communicate Effectively
Practice explaining complex data findings in simple terms. You may need to present your results to stakeholders with varying levels of technical expertise, so clear communication is key.
