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Senior Manager, Machine Learning Science

Travel is a force for good. At Expedia Group, it’s our mission to power global travel for everyone, everywhere, because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world’s largest travel platforms. With unrivaled knowledge of the industry and advanced tech innovation, we built a marketplace that allows us to filter through millions of different possibilities, for travelers and partners worldwide.

Pricing and monetization have critical impacts on the health of our business. The Machine Learning Science team is building scalable and robust solutions 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. Our challenges include setting up the optimal travel package price, deciding platform fees to meet travelers, partners and platform separate needs.

As a Senior Manager of Machine Learning Science, you will manage a team and collaborate with a strong team of engineers, product managers, operations and analytics. You will be deeply involved in the technical details of building machine learning and data science solutions to optimize business performance. As a leader in Machine Learning 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.

What you will do:

· Manage a team of Machine Learning Scientists to deliver scalable and robust machine learning and data science solutions to pricing and monetization

· 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 machine learning, data science and data engineering teams to build a great data culture in EG

Who you are:

· 7+ years industry experience and an advanced degree in a quantitative field, such as Computer Science, Statistics, Operations Research, Economics or equivalent quantitative fields

· 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

· Understanding of modern machine learning and data science techniques and their mathematical underpinning

· Proficiency in one of the tools such as Python, R, Scala, etc

· Experience with big data ecosystem (Hadoop/Spark)

· Experience in pricing is a plus

· Experience with large scale marketplace experiment design and analysis is a plus

The total cash range for this position in Austin 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.

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. 

About Expedia Group 

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. 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™.  

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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 to 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.