If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form. This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.

Director Machine Learning Science – Insurance Products

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 travel insurance business. Travel Insurance represents a significant and expanding segment of our company, offering numerous opportunities for innovation and optimization. The Director of MLS will play a crucial role in driving our success in this area.


Expedia 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 5 to 10 years of management experience, with at least 3 years managing high-performing machine learning teams. An advanced degree (PhD preferred) in machine learning, computer science, or another quantitative discipline is required.

What you’ll do:

  • 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’ 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

Who you are:

  • 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

The total cash range for this position in Seattle is $221,000.00 to $309,500.00. Employees in this role have the potential to increase their pay up to $353,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience.  Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. 

About Expedia Group 

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. 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™.  

© 2021 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 to 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Salary

$221,000 - $353,500

Yearly based

Location

Washington - Seattle Campus

Job Overview
Job Posted:
4 months ago
Job Expires:
Job Type
Full Time

Share This Job: