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Machine Learning Scientist II
• Switzerland – Geneva
• Technology
• Full-Time Regular
• 04/10/2024
• ID # R-87749-1

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Machine Learning Scientist II

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’ll do:
• Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests
• 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:
• Bachelors or 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 and Computer Engineering or equivalent experience.
• 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 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

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group’s family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia GroupTM Media Solutions, Expedia Local Expert®, CarRentals.comTM, and Expedia CruisesTM.

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Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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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Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

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