Senior Manager, Machine Learning Science - Vrbo Pricing
Expedia Group · Austin, United States · 1d ago
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the team
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
The Pricing applied science team has critical impacts on the business health. The team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi-billion dollar revenue.
As a Senior Manager of Applied Science, you will lead a team and collaborate with a strong team of strategists, engineers, product managers, operations and analytics. You will be deeply involved in the technical details of building applied science solutions to optimize business performance. As a leader in Applied Science, you will set best practices, architect solutions, design processes and manage a highly skilled team that continues to grow. You will also contribute to an area of active research: causal inference using machine learning methods, stochastic optimization, ML-based demand estimation, experiment design and analysis.
In this role, you will:
- Manage a team of applied scientists to deliver scalable and robust machine learning and data science solutions to pricing and monetization with engineering rigor.
- Architect solutions, review models and provide necessary technical guidance.
- Dissect business problems into digestible solutions.
- Follow company strategic directions and align with stakeholders on goals and roadmaps.
- Set the team vision, design roadmap and manage the execution to deliver outstanding results.
- Hire, mentor and grow the team.
- Collaborate with other applied science, analytics and data engineering teams to build a great data culture in EG.
Minimum Qualifications:
- 8+ years of related industry experience
- 4+ years of management experience in developing machine learning models at scale from inception to business impact
- Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution of it
- Passion for management and creating opportunities for career growth for team members
- Ability to communicate clearly and effectively to cross functional partners of varying technical levels
- Proficiency in one of the tools such as Python, R, Scala, etc
- Experience with big data ecosystem (Hadoop/Spark)
Preferred Qualifications:
- PhD, MS, or BS in a quantitative field, such as Computer Science, Statistics, Operations Research, Economics or equivalent professional experience
- Experience in working with pricing models
- Experience with large scale marketplace experiment design and analysis
- Understanding of modern machine learning and data science techniques and their mathematical underpinning
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.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request athttps://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
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, veteran status, or any other characteristic protected by law. 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.