JOB DESCRIPTION

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Machine Learning Scientist III

Expedia is the global leader in travel. From the practical matters of booking flights, cars, hotels, packages, local activities, or vacation rentals to the realization of dreams and bucket lists, we cover the entire breadth of this deep and varied relationship. We team up with our partners to provide outstanding offers to our customers. Some of our partners are huge brands, and some are individuals with a studio apartment to rent. Our customers are diverse, and we seek to deliver value and a great experience. Our technical challenges are endlessly sophisticated and yet meaningful and exciting.

Expedia Group Data Science and AI organization builds scalable, high performance, high impact AI products and services for the company. We work closely together with our brands/business units across Expedia Group. We work in a start-up fashion, with flat org structure and refreshing culture, valuing integrity, creativity, dedication, and positive energy. We bring AI fueled business value to our company, to our travelers, and partners, and we believe in Data Intelligence, and AI innovation.

We are looking for Machine Learning Scientists to join our growing team. This position focuses on the measurement and optimization of advertising expenditure. This role will work closely with our marketing team to drive traffic to our e-commerce marketplace. The statistical learning algorithms you develop will affect tens of millions of advertising dollars each year.

What you’ll do:

You will build end-to-end design of one step models based on detailed understanding of business requirements, including approach, choice of algorithm and data sources

You will select valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e., not just order taking)

Use advanced and sophisticated understanding of the business problem space to inform the design of the solution

You will frame challenging business problems as a data science problem and concrete set of tasks

You will leverage others’ skills, knowledge, and expertise effectively in problem solving and delivering impact

You will apply a range of common statistical methods to solve business problems

You will consider underlying assumptions to pick the ideal method for problem solving

You will need understand causal inference and how programmatic marketing advertising works

You will modify/adapt to models and techniques to suit business needs

Who you are:

Master's or Ph.D. in Statistics, Computer Science or related technical field, or equivalent related professional experience

3+ years of experience in Data Science, analytics and/or engineering fields

Demonstrated ability to build and maintain multiple data science project/product in production environments

Solid knowledge and understanding of Bayesian methods

Experienced in industrial application of machine learning.

Demonstrated understanding of the limitations of selected methods

Have significant experience in at least one major ML programming language (Python, Scala…) and familiar with others

Proven storytelling and presentation skills i.e. be able to present business side of the story that data presents to c-team and business leaders

The total cash range for this position in Seattle is $128,500.00 to $180,000.00. Employees in this role have the potential to increase their pay up to $205,500.00, 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 Austin is $128,500.00 to $180,000.00. Employees in this role have the potential to increase their pay up to $205,500.00, 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™.

© 2021 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 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 iscommittedto creating an inclusive workenvironmentwith 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.