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- Tasks: Develop and implement machine learning models for diverse business applications.
- Company: Join Expedia Group, a leader in global travel technology and solutions.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Why this job: Make a real impact in a fast-growing team while embracing innovation and collaboration.
- Qualifications: Ph.D. or Master's in relevant fields; strong ML foundation and Python proficiency required.
- Other info: Recognised as a Best Place to Work with a commitment to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ 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. We’re 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 looking for a ML Scientist II to join the Private Label Solutions (PLS) Machine Learning Science. You will join a team that builds end-to-end ML solutions for various business problems, contributing substantial value for our partners and for EG. We embrace test and learn by continuously experimenting, analyzing and improving our algorithms which has helped the B2B business become one of the fastest growing at Expedia Group.
This applied scientist role will join our ML team at Expedia Group. This role offers a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in commercial acumen, engineering, analysis, and applied machine learning at scale.
This role requires an individual that has a solid foundation in machine learning and engineering, is passionate about driving meaningful impact whilst being mindful of the broader context in which their work sits, is comfortable with ambiguity and enjoys the challenge of tackling open ended problems.
In this role, you will:
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Develop and implement ML models for a variety of business applications within Expedia Group’s B2B arm.
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Contribute to building and enhancing end-to-end ML solutions, from data preprocessing to production deployment.
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Design and run A/B tests and experiments to continuously improve algorithm performance.
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Stay current with the latest ML techniques and contribute to the team’s technical capabilities.
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Collaborate with cross-functional teams to translate business needs into technical solutions.
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Communicate methodologies and results clearly to both technical and non-technical audiences and work across the tech stack to deploy models.
Experience and qualifications:
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You hold a Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Mathematics/Statistics, or a related field.
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You have 2 years of industry experience applying ML to real-world problems (desirable but not required).
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You possess a solid understanding of machine learning algorithms, statistics, and probability theory.
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You demonstrate strong problem-solving skills, a quick learning ability, and enthusiasm for tackling complex challenges.
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You are proficient in Python, with experience using PySpark and ML libraries such as scikit-learn, TensorFlow, or Keras.
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You are familiar with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, GCP), and can effectively communicate technical concepts to non-technical stakeholders.
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 Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re 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-Ljbffr
Machine Learning Scientist II employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist II
✨Tip Number 1
Familiarise yourself with the latest machine learning techniques and tools that are relevant to the role. This includes understanding frameworks like TensorFlow and Keras, as well as big data technologies such as Hadoop and Spark. Being able to discuss these in your conversations will show your passion and readiness for the position.
✨Tip Number 2
Engage with the community by attending machine learning meetups or conferences. Networking with professionals in the field can provide insights into current trends and challenges, and you might even meet someone from Expedia Group who can give you a leg up in the application process.
✨Tip Number 3
Prepare to discuss real-world applications of machine learning during your interviews. Think of specific projects where you've implemented ML solutions, focusing on the impact they had. This will demonstrate your practical experience and problem-solving skills, which are crucial for the role.
✨Tip Number 4
Show your enthusiasm for travel and how it intersects with technology. Since this role is within the travel industry, expressing your passion for travel and how you envision using machine learning to enhance the travel experience can set you apart from other candidates.
We think you need these skills to ace Machine Learning Scientist II
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and engineering. Emphasise any projects or roles where you've developed ML models or worked with big data technologies, as this aligns closely with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it can drive meaningful impact in the travel industry. Mention specific experiences that demonstrate your problem-solving skills and ability to work with cross-functional teams.
Showcase Technical Skills: Clearly list your technical skills, especially in Python, PySpark, and ML libraries like TensorFlow or Keras. Provide examples of how you've applied these skills in real-world scenarios, as this will resonate well with the hiring team.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms and statistics. Be ready to discuss your approach to developing and implementing ML models, as well as how you stay current with the latest techniques in the field.
How to prepare for a job interview at Expedia, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and tools. Highlight your proficiency in Python, PySpark, and relevant ML libraries like TensorFlow or Keras. Consider bringing examples of past projects where you successfully implemented ML solutions.
✨Understand the Business Context
Research Expedia Group and its B2B arm, Private Label Solutions. Understand their business model and how machine learning can drive value for their partners. This will help you articulate how your skills align with their goals during the interview.
✨Prepare for Problem-Solving Questions
Expect to tackle open-ended problems during the interview. Practice explaining your thought process clearly and logically. Use the STAR method (Situation, Task, Action, Result) to structure your responses when discussing past challenges you've faced.
✨Communicate Effectively
Since you'll need to convey complex technical concepts to non-technical stakeholders, practice simplifying your explanations. Be ready to demonstrate how you would communicate methodologies and results to diverse audiences, ensuring clarity and understanding.
