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Data Scientist II, Analytics

Expedia Group

London

On-site

GBP 55,000 - 75,000

Full time

Yesterday
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Job summary

Join a leading company in the travel industry as a Data Scientist II, where you will analyze performance metrics and leverage advanced analytics to enhance user experience. Work closely with product teams to drive data-driven decisions and improve conversion rates.

Benefits

Flexible work model
Generous time-off
Parental leave
Career development resources
Exciting travel perks

Qualifications

  • 2 years of experience in a quantitative field.
  • Strong background in data science or similar.
  • Experience with large datasets.

Responsibilities

  • Analyze core performance metrics weekly.
  • Identify opportunities for advanced analytics.
  • Conduct exploratory analysis to improve metrics.

Skills

Analytical Thinking
Logical Thinking
Data Analysis
Problem Solving

Education

Bachelor’s Degree
Master’s Degree

Tools

Adobe Analytics
Google Analytics
SQL
R
Python

Job description

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, Product Analytics

The Traveler Business Team builds and drives growth for our global consumer businesses—Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard.

The Performance Insights and Measurement Strategy team leads product performance related strategic analytics and customer experience advanced insight, ensuring that top level understanding of performance and the resulting decisions are being made are off the back of sound data and analytics principles. This results in simplification, efficiency improvement, consistency and clear accountability on product performance measurement.

As a data scientist II in the team, you will work closely with our Brands and Product teams on our efforts to understand performance of our products. Examples include investigating weekly performance trends alongside automating our capabilities for understanding and detecting changes in core metrics.

In this role, you will:

  • Carrying out weekly analytics of core performance metrics with a focus on understanding the drivers of conversion and experience

  • Identifying opportunities to leverage advanced analytics methods to develop a deeper understanding of performance for example through increased segmentation of metrics

  • Understanding the interaction of key metrics and their relationship with strategic and performance goals

  • Exploratory analysis to identify friction across the funnel impacting metrics, and quantify the business impact of this

  • Working with the wider product analytics team at Expedia Group to get a deeper understanding of our performance

Experience and Qualifications:

  • Excellent logical thinking, a very strong background (Bachelor’s/Master’s degree) in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar and 2 years of experience in industry or equivalent.

  • Experience creating and analysing drivers of performance metrics.

  • Demonstrated ability to work through complex business problems and implement suitable solutions.

  • Creative and analytical in thinking with a love for data, to both disagree with and convince senior partners backed by data.

  • Experience in web analytics using tools such as Adobe Analytics or Google Analytics.

  • Experience with large datasets and proficient in SQL and another programming language (e.g. R, Python).

#LI-MF2

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.
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