Expedia Group is looking to solve business problems related to global travel by developing cutting-edge technology and groundbreaking solutions. This role specifically aims to contribute to business-critical projects by developing machine learning models and applying statistical methods to improve the traveler experience and optimize business metrics.
Requirements
- Must have Python and/or Scala, SQL knowledge
- Helpful to have theoretical understanding various machine learning topics like Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks
- Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java
- Helpful to have understanding of distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc.
- Helpful to be familiar with cloud computing, AWS specifically, in a distributed computing context
- Helpful to have Java, R, C++, Hive, Hadoop, Microsoft SQL Server knowledge
Responsibilities
- Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests
- Applying Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem
- Communicating complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)
- Conducting feature engineering and modifying existing models/techniques to suit business needs
- Developing domain expertise in fraud & risk to understand how to detect risky transactions
- Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience
- Framing business problems as data science problems with a concrete set of tasks
Other
- Must be available to commit to the full program dates: U.S.A: Cohort 1: May 18 - July 24, 2026 or Cohort 2: June 22 - August 28, 2026
- Must be graduating with an Master’s degree in a technical subject (e.g. Master’s degree in a technical, or analytical-related, subject such as Computer Science with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science, Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering, or any Engineering degree) between December 2026 and July 2027
- Must be willing to relocate to city of job location if outside commuting distance
- Must have no more than 2 years' professional experience
- Must be graduating from university in the same country of internship location
