Data Scientist III, Media Data & Measurement

Expedia Group, Inc.
London
4 days ago
Applications closed

Related Jobs

View all jobs

Scientist - Multiomics

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist III, Media Data & Measurement

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. Were building a more open world. Join us.

Data Scientist III, Media Data & Measurement

Are you looking for your next analytics challenge? Expedia Group Media Team is seeking a Data Science professional passionate about measurement and visualization. As part of our Media Data team, you will play a pivotal role in supporting our business stakeholders in the Expedia Group Media Team, ensuring they can better understand returns on investment and optimize marketing campaigns across multiple paid media channels, including linear and digital TV, programmatic display, YouTube and out of home advertising.

You will get to apply your analytical mind to translate our data into meaningful and actionable insights, driving business decisions and strategy.

In this role you will:

  • Partner with the Media team to understand how media planning, buying, measurement and optimization processes work and how data can support them.
  • Analyze and assess channel performance and EG trends to provide actionable and impactful recommendations to the Media Team.
  • Evaluate the availability, quality and efficacy of our existing data sets and guide the Media Data roadmaps to ensure a high coverage of the Media Teams data needs.
  • Develop and maintain visualization products that improve the Media Teams insight and analytical capabilities by surfacing complex data sets to non-technical stakeholders in an effective way. Monitor and analyze the usage of these products and improve them as necessary.
  • Constantly learn from data visualization engineers and data scientists across Expedia Group and apply the best practices of those fields.

Experience and Qualifications:

  • 4+ years of experience doing quantitative analysis, with demonstrated ability to analyze data effectively and communicate the insights in a compelling format to drive actions.
  • Advanced knowledge of relational databases and SQL skills is essential.
  • Experience with R, Python, or other coding language is a plus.
  • Experience with advanced analytical methods such as A/B testing, modelling and timeseries analysis.
  • Experience in data visualization (Tableau, Looker, PowerBI, Shiny, etc.).
  • Previous experience with marketing (specifically paid media landscape) data is essential.
  • Strong understanding of the media measurement landscape, including incrementality testing techniques, MMMs and third-party measurement solutions is a must.
  • A collaborative and versatile team player who combines excellent attention to detail with an understanding of the big picture.
  • A result-oriented, practical thinker eager to find optimal solutions using the most efficient approach.
  • A storyteller and influencer who builds presentations with impact in mind.
  • An active listener with the ability to synthesize and translate feedback from a diverse group of stakeholders into product deliverables.
  • A quick learner and self-starter with a high tolerance for ambiguity and a strong drive to turn that into clarity.
  • Enthusiastic working in a cross-functional, geographically distributed team.

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 Groups 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 Groups Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless youre 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.

Create a job alert and receive personalised job recommendations straight to your inbox.

J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.