At a Glance
- Tasks: Create ML models for personalised recommendations and improve end-to-end solutions.
- Company: Join Expedia, a leader in travel technology and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting projects.
- Why this job: Make a real impact on travel experiences with cutting-edge machine learning.
- Qualifications: Ph.D. or Master’s in a related field and expertise in Python and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Expedia, Inc. is seeking a Machine Learning Scientist II to join their B2B Machine Learning Science team. The ideal candidate will develop ML models for personalized recommendations and enhance end-to-end ML solutions. This role involves collaboration with cross-functional teams, designing A/B tests, and requires a Ph.D. or Master’s degree in a related field. Proficiency in technologies such as Python, PySpark, and cloud platforms is essential.
ML Scientist II — Recommendations at Scale in London employer: Expedia, Inc.
Expedia, Inc. is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about machine learning and data science. Located in a vibrant tech hub, employees benefit from continuous growth opportunities, access to cutting-edge technologies, and a commitment to work-life balance, making it an ideal place for professionals looking to make a meaningful impact in the travel industry.
StudySmarter Expert Advice🤫
We think this is how you could land ML Scientist II — Recommendations at Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Expedia or similar companies. 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 ML projects, especially those involving recommendations. Share it on platforms like GitHub and make sure it's easy for recruiters to see what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and PySpark skills, and be ready to discuss your experience with A/B testing. Practising common ML interview questions can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace ML Scientist II — Recommendations at Scale in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML models and technologies like Python and PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalised recommendations and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Collaboration Skills:Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action, so share those stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Expedia, Inc.
✨Know Your ML Models
Make sure you brush up on the latest machine learning models, especially those related to recommendations. Be ready to discuss how you've developed or implemented these models in the past, and think about specific examples that showcase your expertise.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare to share experiences where you've successfully collaborated with others. Highlight any projects where teamwork was key to achieving results, and be ready to discuss how you handle differing opinions.
✨A/B Testing Know-How
Familiarise yourself with A/B testing methodologies. Be prepared to explain how you've designed and analysed A/B tests in previous roles, and think about the impact your findings had on decision-making processes.
✨Tech Stack Familiarity
Ensure you're comfortable discussing Python, PySpark, and cloud platforms. Brush up on any recent projects where you've used these technologies, and be ready to answer technical questions that demonstrate your proficiency.
