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Director Machine Learning Science
2 months ago
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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
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 Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises .
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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.