Data Scientist II, Marketing Analytics
Data Scientist II, Marketing Analytics

Data Scientist II, Marketing Analytics

Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our team to analyse data and optimise marketing strategies for global travel.
  • Company: Expedia Group, a leader in travel technology with a vibrant community.
  • Benefits: Enjoy travel perks, flexible work, generous time-off, and career development resources.
  • Why this job: Make a real impact on how people travel while working with cutting-edge analytics.
  • Qualifications: Degree in a technical field and strong skills in SQL, Python or R required.
  • Other info: Be part of a diverse team that values inclusion and personal growth.

The predicted salary is between 28800 - 48000 £ 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, and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey.

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 hard-working 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 highly-skilled 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 decision-making rationale, solutions, methodologies and frameworks to team members and both technical and non-technical partners.
  • Partner with cross-functional 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, favouring 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.
  • 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 problem-solving skills and can-do 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.

We are 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, Marketing Analytics employer: ENGINEERINGUK

Expedia Group is an exceptional employer that prioritises its employees' well-being and growth, offering a comprehensive benefits package that includes exciting travel perks, generous time-off, and flexible work arrangements. With a vibrant and inclusive culture, employees are encouraged to thrive in their roles while collaborating with talented professionals across the globe, making it a rewarding environment for those passionate about data science and marketing analytics.
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Contact Detail:

ENGINEERINGUK Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist II, Marketing Analytics

✨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!

✨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 prowess and how you can apply it to real-world marketing problems!

✨Tip Number 3

Don’t just focus on the technical stuff; be ready to showcase your business acumen too. Think about how your analytical insights can drive marketing strategies and improve capital allocation. We want to see your problem-solving skills in action!

✨Tip Number 4

Finally, 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 opportunities that match your skills!

We think you need these skills to ace Data Scientist II, Marketing Analytics

SQL
Python
R
Statistical Modelling Techniques
Predictive Analytics
Analytical Problem-Solving Skills
Business Acumen
Critical Reasoning Skills
Data Analytics
Communication Skills
Collaboration with Cross-Functional Teams
Optimisation Techniques
Iterative Delivery

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist II role. Highlight your experience with SQL, Python, or R, and showcase any relevant marketing analytics projects you've worked on. We want to see how your skills align with our mission!

Show Off Your Analytical Skills: In your application, don’t just list your qualifications; demonstrate your analytical problem-solving abilities. Share specific examples of how you've tackled complex data challenges in the past. This will help us see your thought process and approach!

Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you articulate your motivations for applying and how you can contribute to our team without fluff!

Apply Through Our Website: Remember to apply through our official website! It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details about the role and our company culture there!

How to prepare for a job interview at ENGINEERINGUK

✨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 the right fit for the role.

✨Understand the Business

Familiarise yourself with the marketing analytics landscape, especially within the travel industry. Research Expedia Group's brands and their marketing strategies. This knowledge will help you articulate how your analytical skills can directly contribute to their goals.

✨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 solved complex issues, focusing on the methods and frameworks you applied.

✨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 marketing, finance, or product teams to drive insights and optimise processes.

Data Scientist II, Marketing Analytics
ENGINEERINGUK

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