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- Tasks: Develop measurement tools and maintain the experimentation platform for marketing analytics.
- Company: Global travel tech company based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape data-driven marketing strategies and make a real impact in the travel industry.
- Qualifications: Degree in Computer Science, proficiency in Python and SQL, and experience with scalable systems.
- Other info: Join a dynamic team focused on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A global travel technology company in Greater London seeks a Machine Learning Engineer II to enhance its marketing analytics capabilities. You will develop measurement tools and maintain the experimentation platform, ensuring reliable operations for numerous experiments.
Required qualifications include:
- A degree in Computer Science or related field
- Proficiency in Python and SQL
- Experience with scalable systems
Join us to shape data-driven marketing strategies!
ML Engineer II — Marketing Experiments & Tools employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer II — Marketing Experiments & Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in marketing analytics or machine learning. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. Highlight any tools or platforms you've developed or worked on, especially if they relate to marketing experiments.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss scalable systems and how you’ve tackled challenges in past projects. We want to see your problem-solving skills in action!
✨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 ML Engineer II — Marketing Experiments & Tools
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and scalable systems. We want to see how your skills align with the role of ML Engineer II, 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 excited about enhancing marketing analytics and how your background makes you a perfect fit for our team. Let your personality come through!
Showcase Your Projects: If you've worked on any cool machine learning projects or tools, make sure to mention them! We love seeing practical applications of your skills, especially those that relate to experimentation and measurement.
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!
How to prepare for a job interview at Expedia, Inc.
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to scalable systems. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand Marketing Analytics
Since this role focuses on enhancing marketing analytics capabilities, do some research on current trends in marketing experiments. Familiarise yourself with common metrics and tools used in the industry. This knowledge will help you demonstrate your understanding of how machine learning can drive data-driven marketing strategies.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice coding challenges related to machine learning and experimentation platforms. Being able to articulate your thought process while solving these problems will impress the interviewers.
✨Show Enthusiasm for Experimentation
This role involves maintaining an experimentation platform, so express your passion for testing and iterating on ideas. Share examples from your experience where you’ve successfully implemented experiments and what you learned from them. This will highlight your proactive approach and commitment to continuous improvement.
