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Can you predict and apply AI to turn data into actions that transform products from good to great? Do you want to power the future of travel? Then come and make a positive impact, strengthen connections, and bridge divides across the world, here at Expedia Group. Come onboard and help us to bring people together through travel technology, while jump-starting your career in Machine Learning Science.
What You’ll Do
Travel is so much more than simply reaching your destination. Along your journey you will make an immediate impact on reimagining the way people search for travel as part of an exciting team that will help invent brand-new techniques to bring the world within reach. From building pipelines and prototyping new ML models with A/B testing to applying new techniques to services that run tens of thousands of requests per second, there is no shortage of opportunities for technical innovation at Expedia Group – the sky’s the limit! We are hiring across multiple teams therefore the role may differ dependent this. You will be involved in some of the following:
- 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
We are hiring across multiple teams; therefore, the role may differ dependent on this. Sound interesting? Then check out what our current graduates are working on here.
Who You Are
We know that many potential candidates can be hesitant to apply for a job if they aren't sure that they meet all the criteria shared. If you meet all the criteria labelled ‘Must’ and are interested in this role, we encourage you to apply!
- Must be available to start on October 23rd, 2023
- Must be graduating in 2023 with a 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
- Must be willing to relocate to city of job location if outside commuting distance
- Helpful to understand ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP
- Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java
- Helpful to understand 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 be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people)
What We Offer
Successful candidates will receive a competitive compensation package including comprehensive benefits and other perks, some of which are included below:
- Base Salary - £62,000
- Travel discounts
- Flexible benefits (currently including dental and medical options)
- Travel and wellbeing reimbursement
- Restricted Stock Units
- Pet benefits (including time for pet bereavement)
Next Steps
Apply now! Our dedicated early careers team will review your application and suitable applicants will be encouraged to complete an immersive strength based online assessment as the first step. Depending on the role profile you are applying to, selected candidates may also be asked to take a skills-based screening assessment.
Candidates who are invited to a final round interview will have the opportunity to meet with members of our team through two virtual interviews covering both technical and behavioral skills related to the position. These interviews will also be a chance for you to learn more about us, too!
