Machine Learning Scientist III - Package Pricing

Machine Learning Scientist III-Package Pricing 

Introduction to the team  

As part of the Machine Learning Science organization at Expedia Group, you'll help build a scalable, intelligent pricing system that directly shapes how we balance volume and profitability across multiple lines of business. The decisions this system drives influence billions of dollars in revenue, and the work is visible at the highest levels of the company. 

As a Machine Learning Scientist III, you'll help define this system. You'll tackle end-to-end pricing problems alongside a sharp team of ML scientists, data scientists, engineers, product managers, and operations analysts. You will contribute to an area of active scientific research: causal inference, mixed integer programming, and ML-based demand estimation. 

In this role, you will: 

• Design, build, and improve ML models and systems that power Expedia Group products, with a focus on measurable business and customer impact 

• Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and deployment in production environments 

• Develop robust data pipelines, data transformations, and data quality checks to ensure high-quality input signals for ML models and experimentation 

• Partner with product, engineering, and analytics teams to translate business problems into ML solutions, define success metrics, and run experiments to validate impact 

• Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products 

• Contribute to system design (including model-serving APIs and supporting data models), documentation, and best practices that enable reuse and scalability across multiple product domains 

Minimum Qualifications:  

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience 

• Professional experience as a Machine Learning Scientist or in a similar applied ML role, working on end-to-end model development and deployment in real-world products 

• Proficiency in at least one programming language commonly used for ML (such as Python) and experience working with data processing frameworks, model training libraries, and model evaluation techniques 

• Experience owning ML components or services in production, including monitoring model performance, maintaining data pipelines, and collaborating with engineering teams on APIs and data models 

Preferred Qualifications:  

• Advanced degree (master’s or PhD) in a quantitative discipline (e.g., Engineering, Statistics, Economics, or related fields) 

• Experience working on pricing, revenue optimization, marketplace dynamics, or similar business problems 

• Experience designing and analyzing experiments (e.g., A/B testing) and working with noisy or incomplete data 

• Experience building ML models using user behavior, segmentation, or contextual signals 

• Familiarity with causal inference methods or optimization techniques (e.g., mixed-integer programming) in applied settings