Machine Learning Scientist III – Package Pricing

Expedia Group

Machine Learning Scientist building production pricing models for Expedia Group’s global travel platform. Developing demand estimation, experimentation, and optimization systems influencing travel revenue.

Posted 8/5/2026full-timeSeattle • Texas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $137,500 - $192,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in end-to-end machine learning model development, including data exploration, feature engineering, and deployment. Proficient in collaborating with cross-functional teams to translate business challenges into effective ML solutions while ensuring robust data pipelines and model performance monitoring.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingData Processing FrameworksModel Evaluation TechniquesCausal Inference Methods

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

End-to-End Model DevelopmentFeature EngineeringData Quality ChecksModel Training LibrariesModel Performance MonitoringA/B TestingMixed Integer ProgrammingDemand EstimationData TransformationsExperiment Design

Soft Skills

CollaborationCommunication

Tools & Technologies

Machine Learning FrameworksAPIsData Pipelines

Industry Keywords

Pricing SystemsRevenue OptimizationMarketplace DynamicsQuantitative DisciplineStatistical Analysis

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, build, and improve machine learning models and systems powering Expedia Group products
Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and production deployment
Develop robust data pipelines, data transformations, and data quality checks 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 in real-world products
Contribute to system design, including model-serving APIs and supporting data models
Create documentation and best practices supporting reuse and scalability across product domains
Work on pricing systems involving causal inference, mixed integer programming, and ML-based demand estimation

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience
5+ professional years of experience as a Machine Learning Scientist or in a similar applied ML role
Experience with 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
Experience with data processing frameworks, model training libraries, and model evaluation techniques
Experience owning ML components or services in production
Experience monitoring model performance and maintaining data pipelines
Experience collaborating with engineering teams on APIs and data models
Advanced degree in a quantitative discipline preferred
Experience with pricing, revenue optimization, marketplace dynamics, or similar business problems preferred
Experience designing and analyzing experiments, such as A/B testing, preferred
Experience working with noisy or incomplete data preferred
Experience building ML models using user behavior, segmentation, or contextual signals preferred
Familiarity with causal inference methods or optimization techniques, such as mixed-integer programming, preferred

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership
Inclusive and accessible recruiting experience
Disability accommodation or adjustment during the application or recruiting process