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- Tasks: Join us as a Data Scientist III to analyse data and develop business forecasts.
- Company: Expedia Group powers global travel with innovative tech and a vibrant community.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Why this job: Be part of a customer-centric team shaping the future of travel with impactful analytics.
- Qualifications: Bachelor's or higher in relevant fields; 3+ years in analytics; strong Python and SQL skills required.
- Other info: Recognised as a Best Place to Work by Glassdoor in 2024.
The predicted salary is between 42000 - 84000 £ 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.
Introduction to team:
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.
Are you passionate about data, analytics and predictive modelling? Do you want to be at the forefront of a truly customer-centric organization.
We are looking for a hardworking and intelligent individual to fill the Data Scientist III (Individual Contributor) role in the Planning and Insights Analytics team. You will provide powerful analyses and insights and develop business forecast models, capital allocation and strategic planning across Expedia Group brands. This is an exciting opportunity for a team-player who wants to be a central part of a truly customer focused team and a growing analytics function!
You will own the relationship with our stakeholders and help drive the expansion of forecast applications, spend allocation and scenario planning across the B2C organization. You will also have opportunities to research and develop new modelling techniques that incorporate business drivers as required. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) – developing insightful analysis that you communicate in a clear and compelling way.
In this role, you will:
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Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders’ decision-making
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Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions
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Own the relationships with our Marketing stakeholders, and work autonomously to prioritise and execute on the most impactful analytics projects
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Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations
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Prioritise multiple tasks and workstreams simultaneously and own projects end to end
Experience and qualifications:
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Bachelor\’s, Master’s, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable
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3+ years of experience in a similar analytical role
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Strong Python and SQL skills with demonstrated experience to structure, transform and analyze data, and a willingness to learn new frameworks and languages required for the task
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Prior experience in predictive modelling and developing forecast applications
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Display a true passion for data and analytics as well as possessing a strong commercial awareness.
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A high performing individual contributor who consistently applies – and often enhances – the analytical capabilities, principles and playbooks to solve complex business issues and opportunities
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Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts
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Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics
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Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity.
#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. #J-18808-Ljbffr
Data Scientist III, Planning and Insights employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist III, Planning and Insights
✨Tip Number 1
Familiarise yourself with the specific analytical tools and techniques mentioned in the job description, such as Python and SQL. Being able to demonstrate your proficiency in these areas during interviews can set you apart from other candidates.
✨Tip Number 2
Showcase your ability to translate complex data into actionable insights. Prepare examples of past projects where your analysis led to significant business decisions or improvements, as this aligns perfectly with the role's requirements.
✨Tip Number 3
Network with current employees or alumni who work at Expedia Group. Engaging with them can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the interview process.
✨Tip Number 4
Prepare to discuss how you've handled ambiguity and high-pressure situations in your previous roles. The ability to thrive in dynamic environments is crucial for this position, so having concrete examples ready will demonstrate your fit for the team.
We think you need these skills to ace Data Scientist III, Planning and Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, analytics, and predictive modelling. Use keywords from the job description to demonstrate that you meet the qualifications and can contribute to the team.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics. Share specific examples of how you've used advanced analytical techniques to solve business problems, and explain why you're excited about the opportunity at Expedia Group.
Showcase Your Technical Skills: Clearly outline your proficiency in Python and SQL in your application. Provide examples of projects where you've structured, transformed, and analysed data, as well as any experience with predictive modelling and developing forecast applications.
Prepare for Storytelling: Since communication is key in this role, think about how you can present complex data insights in a clear and compelling way. Prepare examples of past presentations or reports that effectively communicated your findings to stakeholders.
How to prepare for a job interview at Expedia, Inc.
✨Show Your Passion for Data
Make sure to express your genuine enthusiasm for data and analytics during the interview. Share specific examples of how you've used data to drive insights and decision-making in previous roles, as this aligns perfectly with the company's focus on data-driven strategies.
✨Prepare for Technical Questions
Expect to be asked about your proficiency in Python and SQL, as well as your experience with predictive modelling. Brush up on these skills and be ready to discuss your past projects where you applied these techniques to solve complex business problems.
✨Demonstrate Your Storytelling Skills
Since the role involves communicating insights to various stakeholders, practice how you present your analyses. Use clear and compelling storytelling techniques to explain your findings, ensuring that even non-technical audiences can grasp the significance of your work.
✨Understand the Business Context
Familiarise yourself with Expedia Group's brands and their market positioning. Be prepared to discuss how your analytical skills can contribute to their strategic goals, particularly in enhancing customer experiences and driving growth across their global consumer businesses.
