Director Machine Learning Science - Insurance Products

$221,000 - $353,500/Yr

Expedia Group - Seattle, WA

Full-time - Director

Seattle, WA

Administrative and Support Services

About the position

The Director of Machine Learning Science (MLS) at Expedia will lead a team focused on enhancing the travel insurance business through advanced machine learning techniques. This role is pivotal in leveraging extensive data sets to drive innovation and optimize the insurance purchasing experience for travelers. The director will establish strategic roadmaps, manage high-performing teams, and collaborate across various departments to achieve business goals.

Responsibilities

• Establish the roadmap and own the OKRs for machine learning systems powering our insurance business.
• Utilize the latest ML and AI technologies to enhance travelers' insurance purchasing and discovery experience on both app and web platforms.
• 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.
• Drive innovation, technical excellence, and deliver business impacts that improve conversion rates, loyalty, and overall traveler experience.
• 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.
• Contribute to the growth of a larger data science and analytics community within EG.

Requirements

• Graduate degree in a quantitative field or equivalent experience.
• Proven track record of designing and delivering high-impact machine learning projects and products from concept to completion.
• Extensive, up-to-date knowledge and hands-on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU).
• A proactive, problem-solving mindset with the ability to simplify complexity and translate high-level business requirements into specific projects.
• Experience in areas such as search, personalization, sorting, ranking, recommendation, bidding, pricing, etc.
• Strong presentation skills, with the ability to communicate complex concepts clearly and tailor key messages and presentation styles to various audiences.

Benefits

• Medical, dental, and vision insurance
• Paid time off
• Employee Assistance Program
• Wellness & travel reimbursement
• Travel discounts
• International Airlines Travel Agent (IATAN) membership