About this role
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.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Senior Manager, Machine Learning Science
Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel?
As a Senior Manager of Machine Learning Science, you will be an established people leader, guiding a talented team of 5-10 data scientists. Your mission will be to develop state-of-the-art machine learning algorithms that power and enhance the customer experience across highly complex travel searches, recommendations, and advertising. You will collaborate with senior management, product, and engineering partners to deliver a high-impact portfolio of work while fostering a high-performing, well-managed, and talented team.
You will tackle substantial technical challenges, from inference problems arising from sparse data to complex optimization problems impacted by a highly dynamic market. Your passion for the craft of statistics, optimization, and machine learning will unlock tangible growth for our business by exploiting these rich data sets and building effective solutions for travelers and our partners.
We are looking for a leader to shape the next generation of intelligence for Expedia Group's advertising marketplace. As a Senior Manager of Machine Learning Science, you will guide a talented team of scientists responsible for the algorithms at the core of our advertising business. You will partner with senior leaders across product and engineering to define a high-impact vision, tackling fundamental challenges in predictive modeling, marketplace optimization, and causal measurement to create value for our travelers and partners alike across Expedia Group’s B2C and B2B platforms.
In this role, you will:
- Lead, Mentor, and Develop: Mentor and grow a team of 5-10 machine learning scientists, fostering a culture of innovation, collaboration and scientific rigor.
- Strategic Planning & Delivery: Define and manage the team's strategic roadmap, setting goals (OKRs) and aligning projects with broader business objectives in the online travel domain. Translate this roadmap into effective delivery of ML-drive features and products.
- Influence and Collaborate: Act as a key scientific leader, partnering with product, engineering, and business executives to align strategy and communicate complex technical concepts to a diverse audience.
Experience and Qualifications:
Experience & Education
- PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
- 5+ years of industry experience applying machine learning to solve real-world problems.
- 2+ years of direct people management experience with a proven track record of hiring, mentoring, and developing a high-performing team of scientists or engineers.
Functional & Technical Skills
- Technical & Scientific Excellence: Deep expertise in machine learning theory, statistical methods, and the scientific principles of measurement necessary to guide the team's technical direction and ensure scientific rigor.
- ML Systems & Best Practices: A comprehensive understanding of the end-to-end ML lifecycle, from ideation and research to deployment and monitoring. You champion software engineering best practices (e.g., version control, code reviews) within the team.
- Technical Fluency: Hands-on fluency in Python and its data science ecosystem (e.g., PySpark, scikit-learn), and SQL. Technical depth to unblock your team and contribute to architectural decisions.
- People management: A passion for fostering healthy team culture that brings a balanced approach to individual team member career growth and collective goal of delivering impactful work.
Highly Desired Experience
- Advanced domain knowledge in online advertising and/or e-commerce
- Experience building and deploying models using GenAI/LLM technologies
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
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™. © 2024 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 with 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, religion, gender, sexual orientation, national origin, disability or age.Other facts
About Expedia Group
At Expedia Group (NASDAQ: EXPE), we believe travel is a force for good – it opens minds, builds connections, and bridges divides. We create transformative tech that enables unforgettable experiences for all travelers, everywhere. Our trusted family of brands are known and loved by millions, and we power more trips than anyone else. To learn more about our vision of a more open world through travel, visit www.expediagroup.com.
We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form or contacting your recruiter.
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 about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact with. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is careers.expediagroup.com/jobs.
If you require customer service support to cancel, change or ask about a refund for your trip, you can connect with our 24/7 Virtual Agent through the following links:
Expedia: https://www.expedia.com/helpcenter
Hotels.com: https://service.hotels.com/en-us/
Vrbo: https://help.vrbo.com/
For additional assistance, direct message us on Twitter @ExpediaHelp with your itinerary number and email address: https://twitter.com/ExpediaHelp
What you'll do
- Lead and mentor a team of machine learning scientists to develop algorithms that enhance customer experience. Collaborate with product and engineering teams to define strategic goals and deliver impactful machine learning features.
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