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About the Role
The Pricing Applied Science team is building a scalable and robust system to optimize business performance by steering prices based on desired outputs, such as a trade-off between volume and profit. This role directly influences prices across different business lines, impacting multi-billion dollar revenue. As a Senior Manager of Applied Science, you will lead a team, collaborate with strategists, engineers, product managers, operations, and analytics professionals, and be deeply involved in the technical details of building applied science solutions. You will set best practices, architect solutions, design processes, and manage a highly skilled team. Your contributions will also extend to active research areas like causal inference using machine learning, stochastic optimization, ML-based demand estimation, and experiment design and analysis.
Responsibilities
- 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.
Requirements
- 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)
- 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
Skills
- Machine learning
- Data science
- Pricing models
- Causal inference
- Stochastic optimization
- ML-based demand estimation
- Experiment design and analysis
- Python
- R
- Scala
- Hadoop
- Spark
Location
- Austin
Work Type
- Full-time
Experience Level
- Senior
- Management
Education Level
- PhD
- MS
- BS
Salary/Compensations
- $173,000.00 - $242,500.00
- Potential to increase pay up to $277,000.00 based on performance
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Employee Assistance Program
- Wellness reimbursement
- Travel reimbursement
- Travel discounts
- International Airlines Travel Agent Network (IATAN) membership
About the Company
- Expedia Group helps travelers explore the world, one journey at a time.
- Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.
- Expedia Group connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business.
- Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
- Across its brands and business, Expedia Group helps travelers explore the world with confidence and ease.
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.