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.

INTRODUCTION TO THE TEAM

Expedia Product & Technology builds 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 for the traveler and our partners that drive loyalty and customer satisfaction.
Are you passionate about applying advanced machine learning techniques to solve real-world problems? Expedia is seeking a Director of Machine Learning Science (MLS) to lead our team of scientists dedicated to our traveler facing experience.
Expedia Group possesses extensive and rich data sets, many of which remain untapped. Your passion for statistics and machine learning can drive significant growth for our business. We are seeking individuals with hands-on experience in building machine learning models, acquired in either academic or industrial settings. You should have suitable management experience, with at least experience managing high-performing machine learning teams. An advanced degree (PhD preferred) in machine learning, computer science, or another quantitative discipline is required.

• Establish the roadmap and own the OKRs for machine learning systems powering our insurance business
• Utilize the latest ML and AI technologies to enhance our travelers’ personalized experience and discovery experience on both app and web platforms. Drive innovation, technical excellence, and deliver business impacts that improve conversion rates, loyalty, and overall traveler experience
• Prioritize the team’s efforts between platform migration and experimenting with new features
• Foster cross-functional partnerships with stakeholders, including product management, engineering, customer care, and supply teams. Collaborate with multiple product teams to make decisions and prioritize requirements
• Operate with a broad business perspective and technical depth, understanding company goals while navigating and influencing the EG data platform and ML technology stacks
• Recruit, develop, and manage highly skilled and independent applied machine learning scientists in a complex environment