Senior ML Science Manager — Pricing & Optimization

Expedia, Inc.; Austin, Northern (TX, KY); Hybrid; USD 145,000 - 243,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Travel discounts

Wellness programs

Job summary

Expedia Group - Vrbo Pricing is seeking a Senior Manager of Machine Learning Science to lead a talented pricing analytics team in Austin. You will guide ML/DS solutions that maximize revenue and traveler value, while mentoring scientists and collaborating with engineers, product managers, and analysts.

The role emphasizes causal inference, experiment design, and scalable ML pipelines to influence pricing decisions across Vrbo and related brands. A strong leadership profile is required.

Qualifications

• 8+ years of related industry experience.
• 4+ years of management experience in ML at scale.
• Ability to drive technical roadmaps and business impact.
• Strong communication across cross-functional partners.
• Proficiency in Python, R or Scala.
• Experience with big data ecosystems (Hadoop/Spark).

Responsibilities

• Lead a team of applied scientists delivering ML solutions for pricing and monetization.
• Architect models and provide technical guidance to the team.
• Translate business problems into scalable analytical solutions.
• Align roadmaps with stakeholders and company strategy.
• Hire, mentor, and grow the team; collaborate with data teams.

Skills

Machine learning

Team leadership

Communication

Python/R/Scala

ML roadmap

Education

PhD/MS/BS in quantitative field

Tools

Python

R

Scala

Hadoop/Spark

Job description

Expedia Group - Vrbo Pricing is seeking a Senior Manager of Machine Learning Science to lead a talented pricing analytics team in Austin. You will guide ML/DS solutions that maximize revenue and traveler value, while mentoring scientists and collaborating with engineers, product managers, and analysts.

The role emphasizes causal inference, experiment design, and scalable ML pipelines to influence pricing decisions across Vrbo and related brands. A strong leadership profile is required.