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.
Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group’s innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more
We are seeking a commercially minded and technically exceptional Director of Machine Learning Science to lead the Revenue Optimization ML team within Private Label Solutions (PLS), Expedia Group's Business-to-business (B2B) division. As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets and travel segments. Revenue optimization is a foundational capability that has a significant impact on the business and is critical to the success of our partners, suppliers and Expedia Group. This role will be responsible for defining, developing, implementing and maintaining scalable machine learning solutions to drive revenue growth and optimize business outcomes across all PLS product lines.
In this role, you will:
Lead and inspire a cross functional, full stack team of Machine Learning Scientists and Machine Learning Engineers fostering personal growth and creating accountability.
Develop and execute a comprehensive strategy for enhancing and expanding ML-powered revenue optimization levers across all products and lines of business that aligns with long-term business objectives.
Frequently engage with senior leadership to facilitate tactical and strategic changes to the optimization program.
Partner with operations, analytics and internal product & technology teams to ensure models in production are driving expected business value, are fully compliant with legal and commercial guardrails and operate efficiently.
Collaborate with cross-functional teams to identify high-impact opportunities for revenue optimization using AI and ML technologies.
Takes end-to-end ownership by generating innovative ideas, building strong business cases, securing stakeholder alignment, and executing through to successful delivery.
Effectively communicate complex technical concepts and project outcomes to both technical and non-technical stakeholders.
Establish best-in-class development practices, guidelines, and processes within your team.
Stay at the forefront of relevant advancements in machine learning and drive innovation by encouraging your team to explore and implement novel approaches.
Oversee the development, maintenance and optimization of scalable ML infrastructure and pipelines for all capabilities within role scope.
Maintain a strong scientific culture within the team
Experience and qualifications:
Ph.D. (preferred) or master’s degree in computer science, Machine Learning, Mathematics/Statistics or another related field of science.
10+ years of experience in applied machine learning (7+ years if Ph.D.), with at least 4 years in a leadership role.
Depth of expertise in developing and deploying to production machine learning models for revenue optimization or related fields in high volume, low latency environments.
Comprehensive knowledge of machine learning algorithms, particularly those used in revenue optimization, coupled with the agility to rapidly grasp and apply emerging techniques.
Deep statistical knowledge and experience with multivariate testing at scale.
Proven track record of leading and mentoring high-performing technical teams.
Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments and navigate large organisations.
Strong project management and organizational skills.
Proficiency in programming languages such as Python, Java and Scala, and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn.
Experience with cloud platforms (e.g., AWS), big data technologies (e.g., Spark) as well as other technologies used to deploy models to production (e.g., Kubernetes, GHA, Airflow, Docker etc.).
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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 theAccommodation 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 iscareers.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.
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