Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create personalised recommendations using advanced machine learning techniques.
- Company: Leading travel marketplace focused on innovation and user satisfaction.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team to enhance user experiences with cutting-edge AI solutions.
- Qualifications: 5+ years in data science, expertise in AI/ML/DL, and strong SQL skills.
- Other info: Ideal for those passionate about travel and technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading travel marketplace is seeking a Senior Machine Learning Scientist focusing on recommender systems. The successful candidate will deliver personalized recommendations and collaborate with various stakeholders.
This role requires:
- Over 5 years of data science experience
- Knowledge of AI/ML/DL
- Strong SQL skills
A Master's or PhD in a relevant field is preferred. The position offers a hybrid work model and aims to enhance user satisfaction through innovative solutions.
Senior Recommender Systems Scientist (ML) – Remote employer: Viator
Contact Detail:
Viator Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Recommender Systems Scientist (ML) – Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in recommender systems. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI/ML/DL and recommender systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and machine learning concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨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 Senior Recommender Systems Scientist (ML) – Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and recommender systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML/DL and how you can contribute to our mission of enhancing user satisfaction. Keep it engaging and personal!
Showcase Your Technical Skills: Since strong SQL skills are a must, make sure to mention any specific projects where you’ve used SQL effectively. We love seeing practical examples that demonstrate your expertise in machine learning and data analysis.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Viator
✨Know Your Algorithms
Brush up on your knowledge of recommender systems and the latest AI/ML/DL techniques. Be ready to discuss how you've applied these in past projects, as this will show your depth of understanding and practical experience.
✨SQL Skills on Point
Since strong SQL skills are a must, prepare to demonstrate your ability to manipulate and query data effectively. Consider practicing common SQL problems or even bringing examples of complex queries you've written in previous roles.
✨Collaborative Mindset
This role involves working with various stakeholders, so be prepared to discuss how you’ve successfully collaborated in the past. Share specific examples that highlight your communication skills and ability to work in a team environment.
✨User-Centric Solutions
The goal is to enhance user satisfaction, so think about how your work has positively impacted users in previous positions. Be ready to share insights on how you approach user feedback and iterate on solutions to improve their experience.
