At a Glance
- Tasks: Lead data science projects to optimise supply for global B2B partners using machine learning.
- Company: Join Expedia.com Ltd., a leader in travel technology and analytics.
- Benefits: Enjoy travel perks, flexible work model, and a comprehensive benefits package.
- Other info: Work independently in a dynamic environment with growth opportunities.
- Why this job: Make a real impact in the travel industry while mentoring future data scientists.
- Qualifications: Relevant technical degree and 4-6 years of analytics experience required.
The predicted salary is between 60000 - 80000 £ per year.
Expedia.com Ltd. is looking for a Data Scientist III for the Analytics team. This role involves leading data science initiatives to optimize supply for global B2B partners while operating independently.
Responsibilities include:
- Applying machine learning techniques
- Extracting and structuring data
- Mentoring junior colleagues
Candidates should hold a relevant technical degree and have 4-6 years of analytics experience. The position offers a comprehensive benefits package including travel perks and a flexible work model.
Senior Data Scientist, Analytics — Supply Optimization Leader in London employer: 11310 Expedia.com Ltd.
Expedia.com Ltd. is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are encouraged to grow. With a comprehensive benefits package that includes travel perks and a flexible work model, team members enjoy a healthy work-life balance while contributing to impactful data science initiatives. The opportunity to mentor junior colleagues further enhances professional development, making this role not just a job, but a meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Analytics — Supply Optimization Leader in London
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We think you need these skills to ace Senior Data Scientist, Analytics — Supply Optimization Leader in London
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 11310 Expedia.com Ltd., 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 11310 Expedia.com Ltd.. 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 11310 Expedia.com Ltd.
✨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!
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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 11310 Expedia.com Ltd.!
✨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.
