Machine Learning Scientist II

Expedia Group

Machine Learning Scientist II position developing cutting-edge algorithms to enhance customer experience for Expedia Group's travel services. Collaborating with cross-functional teams and driving ML projects from ideation to deployment.

Posted 7/23/2026full-timeSeattle • California, Washington • 🇺🇸 United StatesJunior💰 $112,000 - $156,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing end-to-end machine learning solutions, including problem formulation, data preparation, algorithm selection, and evaluation strategies. Proficient in Python and SQL, with a strong understanding of machine learning theory and statistical modeling.

Highest-signal resume keywords

End-To-End ML SolutionsPython ProgrammingSQL ProficiencyMachine Learning TheoryExperimental Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData PreparationAlgorithm SelectionFeature EngineeringStatistical ModelingA/B TestingCausal InferenceDeep LearningProblem FormulationEvaluation Strategy

Soft Skills

CollaborationCommunication

Tools & Technologies

PandasScikit-LearnPySpark

Industry Keywords

AI-Driven SystemsMachine Learning Software Development Lifecycle

Tech Stack

Tools & technologies

PandasPySparkPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Design & Implement ML Solutions: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.
Test, Learn, and Iterate: Design and analyze tests to validate your models and quantify their business impact and design future iterations.
Collaborate and Communicate: 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

Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
1+ years of relevant professional experience.
Proven 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.
Strong programming skills in Python and its data science ecosystem (such as pandas, scikit-learn, PySpark) and proficiency in SQL, with experience following software engineering best practices and contributing to shared codebases.
Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including experience with the machine learning software development lifecycle from experimentation through operational monitoring.
Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.
Able to design end-to-end ML solutions: framing the problem, choosing data sources, selecting algorithms, and defining evaluation strategy.
Technical Fluency: Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL.

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
Employee Assistance Program
wellness and travel reimbursement
travel discounts
International Airlines Travel Agent Network (IATAN) membership