At a Glance
- Tasks: Lead the development of advanced ML recommender systems and algorithms for global partners.
- Company: Join Expedia Group, a leader in global travel technology, dedicated to making travel smoother for everyone.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Other info: Recognised as a Best Place to Work by Glassdoor in 2024.
- Why this job: Shape the future of travel with cutting-edge tech in a diverse and inclusive culture.
- Qualifications: Ph.D. or Masters in a relevant field with 5+ years of experience in large-scale ML systems.
The predicted salary is between 54000 - 84000 £ per year.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees\' passion for travel and ensure a rewarding career journey. Were building a more open world. Join us.
Introduction to the team
Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group\'s innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more
We are seeking an exceptional Sr. Machine Learning Scientist to join Private Label Solutions (PLS) applied machine learning team. As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets and travel segments. Recommender systems and relevance algorithms are foundational capabilities that have a significant impact on the business and are critical to the success of our partners, suppliers and Expedia Group. This role will be pivotal in developing and implementing cutting-edge ML solutions for personalized recommendations, learning to rank, and relevance optimization. The ideal candidate will combine strong technical skills with deep commercial acumen to drive substantial value for PLS and our partners.
In this role, you will:
Lead development of advanced ML-powered recommender systems and relevance algorithms at scale.
Architect end-to-end ML solutions for high-throughput, low-latency personalized recommendations across partner segments.
Provide technical leadership and mentorship, fostering innovation and continuous learning.
Collaborate cross-functionally to align ML solutions with business strategy and partner needs.
Guide a full-stack ML team, supporting technical growth and implementation.
Conduct and present advanced analyses, ensuring models deliver business value and comply with legal and commercial standards.
Experience and qualifications:
You hold a Ph.D. (preferred) or Masters in Computer Science, ML, Mathematics/Statistics, or a related field.
You have 5+ years of experience deploying large-scale recommender systems in high-volume, low-latency environments.
You translate business needs into technical solutions with strong commercial acumen.
You possess deep knowledge of ML algorithms, especially in recommendation and learning-to-rank, and stay current with emerging techniques.
You are experienced in multivariate testing, mentoring junior scientists, and leading technical decisions.
You are proficient in Python, Java, Scala, and ML frameworks (e.g., TensorFlow, PyTorch), with experience in cloud platforms (AWS), big data (Spark), and deployment tools (Kubernetes, Airflow, Docker).
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group\'s family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Groups Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless youre confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. #J-18808-LjbffrSenior Machine Learning Scientist - Recommendations and Relevance (London) employer: Expedia, Inc.
Expedia Group is an exceptional employer that prioritises its employees' well-being and professional growth, offering a comprehensive benefits package that includes exciting travel perks, generous time-off, and flexible work arrangements. Our vibrant and inclusive culture fosters collaboration and innovation, ensuring that every team member feels valued and empowered to contribute to shaping the future of travel. With ample opportunities for career development and mentorship within a leading B2B travel technology environment, joining us means embarking on a rewarding journey in a dynamic and supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Scientist - Recommendations and Relevance (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Expedia, Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Machine Learning Scientist - Recommendations and Relevance (London) at Expedia, Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Expedia, Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Senior Machine Learning Scientist - Recommendations and Relevance (London) at Expedia, Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Machine Learning Scientist - Recommendations and Relevance (London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Expedia, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Expedia, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Expedia, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Expedia, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
