Machine Learning Scientist III - Package Pricing

Expedia•Austin, TX

1d•$137,500 - $192,500

About The Position

As part of Expedia Group’s Machine Learning Science organization, the Machine Learning Scientist III will help define and build a scalable, intelligent package-pricing system that balances volume and profitability across multiple lines of business. The system influences substantial company revenue, and the role involves end-to-end pricing problems and applied research in areas such as causal inference, mixed-integer programming, and machine-learning-based demand estimation. The scientist will design and improve machine-learning models and systems for Expedia Group products, with a focus on measurable business and customer impact. The role includes end-to-end model development, creating reliable data pipelines, integrating and operating AI/ML-enabled solutions, and working with product, engineering, analytics, and operations colleagues to translate business needs into solutions and validate results. The position also contributes to system design, documentation, and practices that support reuse and scalability across product domains.

Requirements

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience.
At least 5 years of professional experience as a Machine Learning Scientist or in a similar applied machine-learning role, including end-to-end model development and deployment in real-world products.
Proficiency in at least one programming language commonly used for machine learning, such as Python.
Experience with data-processing frameworks, model-training libraries, and model-evaluation techniques.
Experience owning machine-learning components or services in production, including monitoring model performance, maintaining data pipelines, and collaborating with engineering teams on APIs and data models.

Nice To Haves

Advanced degree (master’s or PhD) in a quantitative discipline such as Engineering, Statistics, Economics, or a related field.
Experience with pricing, revenue optimization, marketplace dynamics, or similar business problems.
Experience designing and analyzing experiments, such as A/B tests, and working with noisy or incomplete data.
Experience building machine-learning models using user behavior, segmentation, or contextual signals.
Familiarity with causal-inference methods or optimization techniques, such as mixed-integer programming, in applied settings.

Responsibilities

Design, build, and improve machine-learning models and systems for Expedia Group products, focusing on measurable business and customer impact.
Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and production deployment.
Develop data pipelines, transformations, and data-quality checks to provide high-quality input signals for models and experimentation.
Partner with product, engineering, and analytics teams to translate business problems into machine-learning solutions, define success metrics, and run experiments to validate impact.
Safely integrate and operate AI/ML-enabled solutions, applying AI/ML concepts to real-world products.
Contribute to system design, including model-serving APIs and supporting data models, and to documentation and best practices that enable reuse and scalability.