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For Companies At a Glance
- Tasks: Analyse data to optimise marketing strategies and enhance travel experiences.
- Company: Join a leading global travel brand with a vibrant and inclusive culture.
- Benefits: Enjoy travel perks, flexible work, generous time-off, and career development resources.
- Why this job: Shape the future of travel while working with cutting-edge analytics and diverse teams.
- Qualifications: Degree in a technical field and strong skills in SQL, Python or R required.
- Other info: Be part of a recognised best workplace with excellent growth opportunities.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Expedia Group brands power global travel for everyone, everywhere. We design cuttingâedge 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 timeâoff, 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. Weâre building a more open world. Join us.
Introduction to team
The Traveler Business Team has a mission to deliver the most convenient, rewarding, and memorable ways for people to travel and explore the world. This division has responsibility to build and drive the growth of our global consumer business across our Expedia, Hotels.com, Vrbo, and Portfolio brands, and across all our lines of businesses including Hotels, Vacation Rentals, Air, Car, Packages, and Insurtech.
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 hardâworking individuals, with strong statistical and analytical backgrounds, to support in devising, developing and maintaining methods and tools that use a multitude of insights to help optimize capital allocation.
In this role you will:
- Work closely with other highlyâskilled 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 decisionâmaking rationale, solutions, methodologies, and frameworks to team members and both technical and nonâtechnical partners.
- Partner with crossâfunctional 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 optimization.
- Pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that tackle 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 dataâdriven 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.
- Good knowledge of statistical modelling techniques (previous experience in predictive analytics is a strong plus).
- Excellent analytical problemâsolving skills and canâdo 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.
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 awardâwinning 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 GroupTM Media Solutions, Expedia Local Expert, CarRentals.comTM, and Expedia CruisesTM.
Data Scientist II, Marketing Analytics in London employer: Traveltechessentialist
Contact Detail:
Traveltechessentialist Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist II, Marketing Analytics in London
â¨Tip Number 1
Network like a pro! Reach out to current employees at Expedia Group on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Marketing Analytics team. Personal connections can make a huge difference!
â¨Tip Number 2
Prepare for your interview by brushing up on your SQL, Python, or R skills. Be ready to discuss how you've used these tools in past projects. Show us your analytical problem-solving skills and how you can apply them to real-world marketing challenges.
â¨Tip Number 3
Donât just focus on your technical skills; be prepared to articulate your thought process clearly. Practice explaining complex concepts in simple terms. This will help you connect with both technical and non-technical team members during interviews.
â¨Tip Number 4
Finally, apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining the Expedia Group family. Letâs get you on board!
We think you need these skills to ace Data Scientist II, Marketing Analytics in London
Some tips for your application đŤĄ
Show Your Passion for Travel: When you're writing your application, let your love for travel shine through! Share any personal experiences or insights that connect your passion with the role of Data Scientist II in Marketing Analytics. We want to see how you can bring that enthusiasm to our team.
Highlight Relevant Skills: Make sure to emphasise your SQL, Python, or R skills in your application. Weâre looking for candidates who can demonstrate their analytical prowess and how theyâve used these tools in previous roles. Donât hold back on showcasing your technical abilities!
Be Clear and Concise: In your written application, clarity is key! Articulate your thoughts in a straightforward manner, especially when discussing your problem-solving approaches. We appreciate candidates who can communicate complex ideas simply, so keep it sharp and to the point.
Tailor Your Application: Take the time to customise your application for this specific role. Reference the job description and align your experiences with what weâre looking for. This shows us that youâve done your homework and are genuinely interested in joining our team at Expedia Group.
How to prepare for a job interview at Traveltechessentialist
â¨Know Your Data Tools
Make sure you're well-versed in SQL, Python, or R. Brush up on your coding 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 a strong fit for the role.
â¨Understand the Business Context
Familiarise yourself with Expedia Group's brands and their marketing strategies. Think about how your analytical skills can contribute to optimising capital allocation and improving marketing campaigns. This will help you articulate how you can add value to the team.
â¨Prepare for Problem-Solving Questions
Expect to tackle some analytical problems during the interview. Practice explaining your thought process clearly and concisely. Use examples from your experience where you've successfully solved complex problems using data-driven insights.
â¨Show Your Collaborative Spirit
This role involves working with cross-functional teams, so be prepared to discuss your experience collaborating with others. Highlight instances where you've partnered with different departments to achieve a common goal, showcasing your ability to communicate effectively with both technical and non-technical stakeholders.
