Machine Learning Scientist III

Expedia Group

Machine Learning Scientist developing state-of-the-art algorithms for customer experience enhancement. Joining Expedia Group to tackle complex problems in online travel using machine learning techniques.

Posted 7/3/2026full-timeSeattle • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $137,500 - $192,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in the end-to-end machine learning lifecycle, including model development, deployment, and monitoring, with strong programming skills in Python and SQL. Collaborates effectively with cross-functional teams to define problems and communicate findings.

Highest-signal resume keywords

Machine Learning Lifecycle OwnershipApplied Machine Learning ExpertiseProgramming in PythonSQL ProficiencyStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningSupervised LearningUnsupervised LearningStatistical ModelingFeature EngineeringAlgorithm SelectionModel EvaluationProduction DeploymentData Preparation

Soft Skills

Effective CommunicationCollaborationProblem Solving

Certifications & Qualifications

PhD or MS in Quantitative Field

Industry Keywords

Quantitative AnalysisData ScienceBusiness Impact Analysis

Tech Stack

Tools & technologies

JavaPythonScalaSQL

About the role

Key responsibilities & impact

Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.
Design and analyze tests to validate your models and quantify their business impact and design future iterations.
Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.

Requirements

What you’ll need

PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics)
3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems
Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling
Strong programming skills in at least one major ML language (e.g., Python, Scala, Java) plus SQL
Ability to design end-to-end ML solutions including problem formulation, identification and preparation of data sources, algorithm selection, feature engineering, evaluation strategy, and production deployment and monitoring.

Benefits

Comp & perks

medical/dental/vision
paid time off
Employee Assistance Program
wellness & travel reimbursement
travel discounts
International Airlines Travel Agent (IATAN) membership