Develop and deploy advanced machine learning models to solve complex business challenges and drive data-informed decision making
Analyze large-scale datasets and design robust experiments to uncover actionable insights and optimize Expedia Group’s products and services
Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale
Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable
Apply expertise in AI-driven systems, tools, or workflows, and leverage AI/ML concepts to deliver impactful real-world products across multiple domains.

Requirements

Bachelor’s degree or higher in Statistics, Economics, Computer Science, Data Science, or a related quantitative field
6–8+ years of professional experience in data science, applied science, or analytics roles
Proven experience developing and deploying ML and statistical models for real-world business problems at scale
Deep expertise in statistics, applied data analysis, and experimentation design
Strong experience designing, executing, and interpreting A/B and causal experiments
Advanced proficiency in SQL and experience working with large-scale datasets using Spark or Databricks
Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow or MxNet
Experience working with modern deep learning architectures
Excellent communication skills, with the ability to influence decisions and clearly explain complex analyses to senior technical and non-technical stakeholders.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatistical modelsdata analysisA/B testingcausal experimentsSQLSparkDatabricksPythondeep learning

Soft Skills

communicationinfluencementoringcollaborationtechnical excellencecontinuous learning