At a Glance
- Tasks: Transform complex business challenges into data-driven insights and guide key decisions.
- Company: Join Booking Holdings, a leader in travel technology based in Manchester.
- Benefits: Enjoy hybrid work options and a unique range of benefits.
- Why this job: Make an impact by leveraging data science in performance marketing and ML bidding.
- Qualifications: Master’s degree with strong skills in data analysis and machine learning.
The predicted salary is between 40000 - 50000 £ per year.
Booking Holdings, Inc. seeks a Data Scientist in Manchester to take ownership of data science solutions from ideation to delivery. The role includes translating complex business problems into data stories and guiding key business decisions through analysis and experimentation.
Successful candidates will hold a Master’s degree and possess strong technical skills in data analysis, machine learning, and statistical modeling. The position allows for hybrid work arrangements and offers a range of unique benefits.
Data Scientist, Performance Marketing & ML Bidding in Manchester employer: Booking Holdings, Inc.
As a Commercial Manager at Booking.com in Manchester, you will thrive in a dynamic and inclusive work culture that prioritises diversity and personal growth. With flexible hybrid working arrangements, generous paid leave, and industry-leading product discounts, we empower our employees to achieve their best while making a global impact in the travel industry. Join us to build meaningful partnerships and drive success in a role that offers both professional development and the chance to shape the future of attractions and experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Performance Marketing & ML Bidding in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, machine learning models, and any relevant experiments. This will help you stand out and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist, Performance Marketing & ML Bidding in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills in data analysis, machine learning, and statistical modelling. We want to see how you can translate complex problems into actionable insights, so don’t hold back!
Tell Your Story:When writing your application, think about how your experiences relate to the role. We love a good narrative, so weave in examples of how you've tackled similar challenges in the past.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key points shine through without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Booking Holdings, Inc.
✨Know Your Data Science Fundamentals
Make sure you brush up on your data analysis, machine learning, and statistical modelling skills. Be ready to discuss specific techniques you've used in past projects and how they relate to the role at Booking Holdings.
✨Translate Complex Problems
Prepare to demonstrate how you can take complex business problems and turn them into clear data stories. Think of examples where your insights led to key business decisions and be ready to share those narratives.
✨Showcase Your Experimentation Skills
Since the role involves guiding decisions through analysis and experimentation, come prepared with examples of experiments you've designed or analysed. Discuss the outcomes and what you learned from them.
✨Embrace the Hybrid Work Culture
Understand the hybrid work model and be ready to discuss how you can thrive in such an environment. Share your thoughts on collaboration tools and how you manage your time effectively when working remotely.
