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- Tasks: Optimise bidding strategies using advanced machine learning models.
- Company: Global travel tech company in vibrant Greater London.
- Benefits: Competitive salary, inclusive culture, and opportunities for innovation.
- Why this job: Make a real impact in travel tech with cutting-edge machine learning.
- Qualifications: Strong Python and SQL skills with 2+ years in Machine Learning.
- Other info: Collaborative team environment focused on scalable solutions.
The predicted salary is between 36000 - 60000 £ per year.
A global travel technology company in Greater London is seeking a Machine Learning Scientist II to optimize bidding strategies through advanced machine learning models. The ideal candidate will have a strong background in Python and SQL along with 2+ years of experience in applying Machine Learning to real-world challenges.
This role involves collaboration within a cross-functional team to drive scalable solutions and measurable business impact, fostering an inclusive work environment focused on innovation.
ML Scientist II: Bidding & Optimization for Search employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist II: Bidding & Optimization for Search
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at companies you're eyeing. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving bidding strategies or optimisation. This will help us see your practical experience and creativity in action.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and SQL skills, and be ready to discuss how you've applied machine learning to solve real-world problems. We love seeing candidates who can think on their feet!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in joining our team and contributing to our innovative projects.
We think you need these skills to ace ML Scientist II: Bidding & Optimization for Search
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've applied machine learning to real-world challenges, so don’t hold back on those examples!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, especially in optimising bidding strategies and working within cross-functional teams.
Be Yourself: We value authenticity! Let your personality shine through in your written application. Share your passion for innovation and how you foster inclusivity in your work environment.
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 Expedia, Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've applied machine learning to solve real-world problems, as this will show your practical experience and technical prowess.
✨Showcase Your Collaboration Skills
Since this role involves working within a cross-functional team, be prepared to share examples of how you've successfully collaborated with others in the past. Highlight any experiences where you drove scalable solutions or made a measurable impact through teamwork.
✨Understand the Company’s Mission
Research the global travel technology company and understand their goals and values. This will help you align your answers with their mission and demonstrate that you're genuinely interested in contributing to their innovative environment.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially related to bidding strategies and optimisation. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to tackle complex challenges.
