Principal Data Scientist
Are you up for your next challenge where you can really flex your skills in Data Science and Machine Learning? Would you like to work in the fast-paced, traveller focused and data-rich world of travel technology, and power travel for millions of people?
If you are passionate in using Data Science and ML to build data powered products, tackle ambitious problems and are seeking a high-profile role in which you’ll be able to directly impact millions of our customers and partners around the world, this could be the role for you!
Our team focuses on Personalisation and Recommendations across all Expedia Group brands such as Expedia.com, Hotels.com and Vrbo.
We help millions of travellers worldwide having a more personalized experience by creating algorithms for Traveler Intent prediction and Customer Experience AI.
We’re also responsible for Recommendations algorithms including property, destinations, car and activity, to help our travellers finding their dream holiday more quickly.
This key role involves building ML algorithms to solve high-impact, sophisticated problems using cutting-edge technology and approaches while working in a diverse team.
You will also mentor the team and help ensure the timely delivery of key projects.
What you'll do :
Build, deploy and optimise ML models for traveller intent prediction, customer experience AI, relevance and recommendations
Mentor and provide technical support to more junior members of the team
Work in close partnership with Product, Data and Technology teams to identify new opportunities and ensure that key projects that are carried out in the team are delivered in a timely fashion
Develop a deep understanding of our data and ML infrastructure and champion infrastructure development needs which will help the whole team work more effectively
Be a technical leader on use, adoption and implementation of personalization and recommendations algorithms
Who you are :
or Equivalent related professional experience
5+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms
Experience in several of the following domains : Recommender Systems, Deep Learning, Learn-to-Rank, Regression, Classification, Clustering
Experience with ML packages such as TensorFlow, PyTorch, Keras, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Spark MLlib, etc
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred
Good data manipulation skills required including cleaning and managing data
Good programming practices, ability to write readable, fast code
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have :
Knowledge of test design, implementation and evaluation, with website A / B testing experience a plus
Experience with data visualization tools and packages