Senior Machine Learning Scientist (Seattle)

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

The Fraud & Risk team plays a pivotal role in safeguarding the companys finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial securitywe effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedias sustained revenue growth possible.

In this role, you will :

• Lead ML Solution Development : Design, develop, and deploy machine learning models to solve complex business problems, ensuring alignment with strategic goals.
• Drive End-to-End ML Projects : Manage the full ML lifecyclefrom data exploration and feature engineering to model evaluation, productionization, and monitoring.
• Collaborate Across Functions : Partner with engineering, product, and business teams to ensure ML solutions are technically sound and business-relevant.
• Mentor and Grow Talent : Guide junior scientists and engineers, fostering a culture of innovation, learning, and technical excellence.
• Advance ML Capabilities : Evaluate and implement cutting-edge algorithms and tools to enhance model performance, scalability, and robustness.
• Build and Maintain Infrastructure : Configure and optimize storage, compute, and pipeline environments (cloud, on-prem, clusters) to support scalable ML workflows.
• Develop Internal Platforms and Best Practices : Contribute to the evolution of internal ML platforms, reusable components, and standardized methodologies.
• Communicate with Impact : Present findings and recommendations through clear, data-driven storytelling and compelling visualizations tailored to diverse audiences.
• Manage Stakeholders and Projects : Lead cross-functional initiatives, manage expectations, and ensure timely delivery of high-impact solutions.
• Solve Strategically and Creatively : Frame business problems as data science tasks, prioritize high-leverage work (80 / 20), and persist through technical and organizational challenges.

Minimum Qualifications

Preferred qualifications :