Expedia: Sr. Data Scientist

We are looking for a Data Scientist with advanced training in Machine Learning ore related areas, with skills that span the complete project cycle, from data wrangling, to modeling to feature implementation and monitoring.

Expedia At: Expedia
Location: Bellevue, WA
Web: www.expedia.com

Apply online for Sr. Data Scientist (41522)

or contact Dan Friedman dfriedman@expedia.com

Are you excited about solving real world problems with advanced math and machine learning?

Expedia has an exciting and challenging opening for a data scientist / machine learning practitioner.

We are looking for someone with advanced training in computer science, machine learning or an equivalent field whose skills span the complete project cycle, from data wrangling, to modeling to feature implementation and monitoring.

Areas where we do advanced work include:
  • Recommender systems
  • Time series analysis
  • Auctions
  • Incentive systems and feedback loops
  • Purchase propensity

Your focus will be developing state of the art algorithms that power both our consumer facing and supplier facing websites. Key problems that we address include consumer travel search and supplier pricing recommendations.

This is an applied research position, so while you will be given the flexibility to pursue new and interesting ideas, the main focus will be developing production algorithms supporting features of the website. Applicants who have competed in one of our Kaggle competitions will be given special consideration.

  • Understand the business problem, identify the key challenges, formulate the machine learning problem and provide/prototype solutions
  • Be able to debug and correct your assumptions through AB testing
  • Document the technical details of your work
  • Collaborate and brainstorm with other team members
  • Guide and mentor junior data scientists in best practices regarding methodology (prototype formulation and hypothesis testing), as well as implementation
  • Assess the methodological and functional pros and cons of implementing third-party products versus building an in-house system when facing a business problem.
  • Collaborate extensively with stakeholders, program management, and software development team members to ensure that solutions meet business needs, permit valid inferences, and have functional feasibility.


  • Strong communication skills both written and oral
  • Master's degree or PhD in machine learning, computer science or equivalent work experience
  • Strong programming skills, proficiency with one of low level languages such as C++/Java, and one scripting language such as Python/R/Scala
  • Experiences with distributed computing (Hadoop/Spark)
  • 3-5 years' experience of working with real data (data cleaning, data visualization and modeling)
  • Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
  • Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications


About Expedia, Inc.

Our mission is to revolutionize travel through the power of technology.

Collectively, the Expedia, Inc. brands cover virtually every aspect of researching, planning, and booking travel, from choosing the best airplane seat, to reading personal travel reviews of hotels, to planning what to do in a destination once you arrive. The Expedia, Inc. portfolio serves both leisure and business travelers with tastes and budgets ranging from modest to luxury. Expedia delivers consumer travel demand from nearly every continent to nearly 149,000 hotels and hundreds of airlines, tour operators, car rental companies and destination services supply partners. Please visit bit.ly/expediabrands to learn more about our travel brands.

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.

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.