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- Tasks: As a Data Scientist I, you'll tackle analytical challenges to enhance traveler experiences.
- Company: Join Expedia, a leader in travel innovation, committed to an inclusive and open culture.
- Benefits: Enjoy travel perks, generous time-off, parental leave, and a global hybrid work setup.
- Why this job: Make a real impact on millions of travelers while developing your data science skills.
- Qualifications: Bachelor's or Master's in a technical field; proficiency in SQL and Python required.
- Other info: Collaborate with diverse teams and leverage cutting-edge analytical tools.
The predicted salary is between 28800 - 43200 £ per year.
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 global hybrid work setup (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 I
Our Expedia Product & Technology division builds innovative products, services and tools to deliver high-quality experiences for travelers, partners, and our employees. Traveler & Partner Service Platform delivers services that differentiates Expedia Group in the travel marketplace for our Partners and Travelers, along with building tools that support human agents of all types.
Introduction to team:
The Data Scientist I role sits in the Traveler and Service Partner (TPSP) Analytics team, this team provides operational analytics and data science solutions for traveler support interactions, focusing on improving service delivery and enhancing the customer experience. In this role, you will tackle sophisticated analytical business challenges, with a focus on applying statistics and data analytics to improve operations and service efficiency. You will drive change by generating actionable insights, improving the experience of millions of travelers and travel partners each year.
In this role you will:
Collaborate with stakeholders & domain experts to understand business needs, define project goals, and align data analysis approaches.
Lead analytical projects, defining, building, and refining models that offer valuable insights into business challenges.
Apply statistical techniques (e.g., regression, ANOVA, A/B testing) and machine learning concepts to deliver insights that drive change.
Create clear and effective data visualizations (preferably using Tableau), tailoring insights for both technical and non-technical audiences.
Leverage and contribute to a best-in-class analytical toolkit to extract insights and make data-driven recommendations.
You have a Bachelors or Master’s degree in a technical or numerical discipline, such as Data Science, Engineering, Statistics or a related field, or equivalent related professional experience
You are proficient in in SQL language, with experience in writing complex queries and working with large datasets
You have a solid foundation in data science and statistical techniques (e.g., regression, A/B testing, hypothesis testing), along with experience in Python for building data science models,
You have solid business acumen, making connections between data and insights
You are an excellent communicator, with the ability to present complex information in a clear and concise manner to a range of stakeholders (including Director-level)
Knowledge in visualization tools like Tableau is preferred but not essential
Data Scientist I, Analytics employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist I, Analytics
✨Tip Number 1
Familiarize yourself with the specific analytical tools and techniques mentioned in the job description, such as SQL, Python, and statistical methods like regression and A/B testing. Being able to discuss your experience with these tools during the interview will show that you're ready to hit the ground running.
✨Tip Number 2
Prepare examples of past projects where you applied data science techniques to solve real-world problems. Highlight how your insights led to actionable changes, as this aligns perfectly with the role's focus on driving change through data.
✨Tip Number 3
Since communication is key in this role, practice explaining complex data concepts in simple terms. You might be asked to present your findings to non-technical stakeholders, so being able to convey your insights clearly will set you apart.
✨Tip Number 4
Research Expedia Group's values and culture, and think about how your personal values align with theirs. During the interview, share how you can contribute to their open culture and commitment to celebrating differences, as cultural fit is just as important as technical skills.
We think you need these skills to ace Data Scientist I, Analytics
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist I position. Familiarize yourself with the key skills mentioned in the job description, such as SQL proficiency, statistical techniques, and data visualization.
Tailor Your Resume: Customize your resume to highlight relevant experience and skills that align with the job description. Emphasize your background in data science, any projects involving statistical analysis, and your proficiency in SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for travel and data analytics. Discuss how your skills can contribute to improving service delivery and enhancing customer experiences at Expedia Group.
Showcase Your Communication Skills: In your application, demonstrate your ability to communicate complex information clearly. Provide examples of how you've presented data insights to various stakeholders, ensuring you convey your analytical findings effectively.
How to prepare for a job interview at Expedia, Inc.
✨Understand the Business Needs
Before the interview, take time to research the company and its services. Be prepared to discuss how your analytical skills can address specific business challenges they face, especially in enhancing customer experience.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in SQL and Python. Prepare examples of complex queries you've written or data science models you've built, as this will highlight your technical expertise.
✨Communicate Clearly
Practice explaining complex statistical concepts and data insights in a simple manner. Tailor your communication style to suit both technical and non-technical audiences, as this is crucial for the role.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, as the role involves working with various stakeholders. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
