At a Glance
- Tasks: Own analytics for growth and design experiments to shape strategy and marketing.
- Company: Join the dynamic Hotels.com Analytics team at Expedia Group.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact on business outcomes using data-driven insights.
- Qualifications: Experience with SQL, Python, and statistical methods required.
The predicted salary is between 60750 - 74250 £ per year.
Expedia Group is seeking a talented Data Scientist III to join the Hotels. com Analytics team.
You will own analytics for growth domains and design experiments to shape strategy, product roadmap, and marketing tactics.
You will work with product, marketing, supply, and central analytics teams to drive data-driven decisions.
You’ll develop an analytical toolkit using SQL, Python, and statistical methods, create dashboards, and translate insights into actions that impact KPIs and business outcomes.
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Senior Data Scientist, Growth & Experiments in City of Westminster employer: Expedia, Inc.
Expedia Group is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Senior Loyalty Product Manager. With a strong focus on employee growth and development, team members are encouraged to explore new ideas and enhance their skills in a dynamic environment. Located in a vibrant city, employees enjoy unique benefits and the opportunity to make a meaningful impact on customer experiences across a global platform.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Growth & Experiments in City of Westminster
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Scientist, Growth & Experiments in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Expedia, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Expedia, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Expedia, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Expedia, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
