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Senior Manager, Machine Learning Science
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Job Description
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- Post Booking
Introduction to the Team:
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 post-booking recommendations, customer service, and trip management use cases. 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 long-tail traveler data to multi-objective optimization problems in the highly dynamic, operationally complex environment of customer service. Your passion for the craft of statistics, machine learning, and causal inference 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 Post-Booking organization. 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 post-booking business, helping to anticipate traveler needs, personalize dynamic add-ons and upsells, and improve servicing experiences. You will partner with senior leaders across product and engineering to define a high-impact vision, tackling fundamental challenges in predictive modeling and Generative AI to improve customer satisfaction and loyalty, lower cost-to-serve, and make travel more seamless for millions of customers and partners worldwide.
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.
Minimum Qualifications:
You have 5+ years of industry experience applying machine learning to solve real-world problems.
You have 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.
You have 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.
You have a comprehensive understanding of the end-to-end ML lifecycle, from ideation and research to deployment and monitoring.
You have 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.
Preferred Qualifications:
PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
You champion software engineering best practices (e.g., version control, code reviews) within the team.
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.
Advanced domain knowledge in customer service, recommendation systems, operational applications of ML, and/or e-commerce
Experience building and deploying models using GenAI/LLM technologies
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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.
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, 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.
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