Machine Learning Scientist II

ML Scientist II

About Expedia Group

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.

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.

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
• Flexible work model (with some pretty cool offices)
• Career development resources

About Expedia Group B2B

Expedia Group B2B is the business-to-business 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.

As a global leader in travel technology, Expedia Group B2B powers thousands of partners across diverse markets and travel segments.

About the Role

You will join the Expedia Group B2B Machine Learning Science team, which builds end-to-end ML solutions for ranking problems, recommendation engines as well as optimizing our pricing and commission offerings contributing substantial value for our partners and for EG.

This applied scientist role joins the Revenue Optimization 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.

What You'll Do

• Develop and implement ML models for dynamic pricing, demand forecasting, and revenue optimization
• Collaborate on end-to-end solutions, from data preprocessing to model deployment in production environments
• Participate in A/B testing and experiment design to continuously improve our algorithms
• Analyze complex datasets to derive actionable insights for business stakeholders
• Contribute to the team's technical capabilities by staying current with the latest ML techniques and technologies
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Clearly communicate your work, methodologies, and results to both technical and non-technical audiences
• Interact with multiple areas of our technology stack to push models to production

Who You Are

• Education: Ph.D. (preferred) or master's degree in computer science, Machine Learning, Mathematics/Statistics or another related field of science
• Experience: 2 years of industry experience in applying ML to real-world problems desirable but not required
• Technical Skills: Proficiency in Python, with experience using PySpark and common machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras etc.)
• Big Data & Cloud: Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (AWS, GCP)
• Knowledge: Solid understanding of common machine learning algorithms, statistics and probability theory
• Problem-solving: Excellent problem-solving skills and ability to learn new concepts quickly
• Communication: Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
• Mindset: Enthusiasm for tackling challenging problems and contributing to innovative solutions, adaptability and willingness to work in a fast-paced, evolving environment

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.

Equal Opportunity

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.

Important Information

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.