Machine Learning Scientist Ii

vor 1 Woche

Geneve, Schweiz Expedia Partner Solutions Vollzeit

**Machine Learning Scientist II**

Our team is looking for a Machine Learning Scientist II to join Expedia to support Private Label Solutions (PLS), the business-to-business (B2B) arm of Expedia Group (EG). We provide industry leading technology solutions powering thousands of partners across the globe with EG products. We are powered by the worlds travel platform enabling PLS to address almost every segment in the travel market from large online travel providers to your local high-street travel agent.

This role sits centrally within the organization offering a diverse perspective and a vast array of challenges. We build end-to-end solutions for optimizing standalone pricing algorithms and contributing substantial value to PLS and our partners. We embrace test and learn by continuously experimenting, analyzing and improving our algorithms which has helped PLS become the fastest growing business within Expedia Group.

**What you will do**:

- Building pricing algorithms and configuring the in-house machine learning systems
- 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
- Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the partner experience
- Framing business problems as data science problems with a concrete set of tasks
- Collaborate with technology and business divisions as appropriate
- Articulate solutions, methodologies and frameworks concisely to both technical and non-technical partners

**Who you are**:

- Must have a base knowledge of ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP
- Must have some experience with a programming, statistical, and/or 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 TensorFlow, and 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)

**About Expedia Group**

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

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, religion, gender, sexual orientation, national origin, disability or age.

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