Machine Learning Scientist II
Role details
Job location
Tech stack
Job description
journey. We're building a more open world. Join us. Introduction to team Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more The Machine Learning Scientist II will join our Revenue Optimization ML team at Expedia Group. This role offers a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in commercial acumen, engineering, analysis, and applied machine learning at scale. This role that requires an individual that has a solid foundation in machine learning and engineering, is passionate about driving meaningful impact whilst being mindful of the broader context in which their work sits, is comfortable, application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 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
Requirements
with ambiguity and enjoys the challenge of tackling open ended problems. What You'll Do * Develop and implement ML models for dynamic pricing, demand forecasting, and revenue optimization * Collaborate on end-to-end solutions, from data preprocessing to model deployment in production environments * Participate in A/B testing and experiment design to continuously improve our algorithms * Analyze complex datasets to derive actionable insights for business stakeholders * Contribute to the team's technical capabilities by staying current with the latest ML techniques and technologies * Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions * Clearly communicate your work, methodologies, and results to both technical and non-technical audiences * Interact with multiple areas of our technology stack to push models to production Who You Are * Ph.D. (preferred) or master's degree in computer science, Machine Learning, Mathematics/Statistics or another related field of science. * 2 years of industry experience in applying ML to real-world problems desirable but not required. * Proficiency in Python, with experience using PySpark and common machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras etc.). * Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (AWS, GCP) * Solid understanding of common machine learning algorithms * Knowledge of statistics and probability theory * Excellent problem-solving skills and ability to learn new concepts quickly * Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders * Enthusiasm for tackling challenging problems and contributing to innovative solutions * Adaptability and willingness to work in a fast-paced, evolving environment Accommodation requests If you need assistance with any part of the
