Senior ML Scientist – Pricing & Revenue Modeling

Expedia Group; Seattle (WA); On-site; USD 138,000 - 193,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Travel discounts

Job summary

Expedia Group is seeking a Machine Learning Scientist III to design, build, and optimize ML models powering our pricing and demand estimation systems. You will own end-to-end model development, from problem framing to production deployment, collaborating with ML scientists, data scientists, engineers, and product managers to deliver measurable business impact.

You will contribute to robust data pipelines, feature engineering, and model-serving APIs while applying AI/ML concepts to real-world

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field or equivalent practical experience.
• 5+ years in ML Scientist or similar role with end-to-end model development and deployment.
• Proficiency in Python and data processing frameworks; experience with model training, evaluation, and production deployment.

Responsibilities

• Design, build, and improve ML models and systems powering Expedia Group products with measurable business impact.
• Lead end-to-end model development: problem formulation, data exploration, feature engineering, training, evaluation, deployment.
• Develop data pipelines and data quality checks for reliable input signals and experimentation.

Skills

Python

Data processing frameworks

Model training libraries

Model evaluation techniques

Production ML components

Education

Bachelor’s degree

Master’s or PhD preferred

Tools

APIs

ML libraries

Data pipelines

Job description

Expedia Group is seeking a Machine Learning Scientist III to design, build, and optimize ML models powering our pricing and demand estimation systems. You will own end-to-end model development, from problem framing to production deployment, collaborating with ML scientists, data scientists, engineers, and product managers to deliver measurable business impact.

You will contribute to robust data pipelines, feature engineering, and model-serving APIs while applying AI/ML concepts to real-world