Senior ML Scientist – Pricing & Optimization

Expedia Group; Austin (TX); On-site; USD 138,000 - 193,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

Paid time off

Employee Assistance Program

Wellness & travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group is seeking a Machine Learning Scientist III in Austin to design and deploy scalable pricing systems that optimize revenue and demand. You will tackle end-to-end pricing problems, collaborating with ML scientists, data scientists, engineers, and product managers to deliver robust solutions and measurable impact.

The role emphasizes causal inference, operations research, and experimentation in a production environment, with opportunities to influence pricing strategy across a global

Qualifications

• 3+ years industry experience in ML, causal inference, or operations research.
• PhD preferred in a quantitative field.
• Ability to analyze large datasets to derive actionable insights.
• Passion for solving real-world problems with principled techniques.
• Strong understanding of modern ML and data science concepts.

Responsibilities

• Research and build pricing systems deployed to production with engineering rigor.
• Lead end-to-end pricing problems across lines of business.
• Collaborate with ML scientists, data scientists, engineers and product managers to deliver measurable outcomes.

Skills

Machine learning

Causal inference

Operations research

Data analysis

Python

Scala

Hadoop/Spark

Pricing

Experiment design

Education

Advanced degree (PhD preferred) in a quantitative field

Tools

Python

Scala

Hadoop/Spark

Job description

Expedia Group is seeking a Machine Learning Scientist III in Austin to design and deploy scalable pricing systems that optimize revenue and demand. You will tackle end-to-end pricing problems, collaborating with ML scientists, data scientists, engineers, and product managers to deliver robust solutions and measurable impact.

The role emphasizes causal inference, operations research, and experimentation in a production environment, with opportunities to influence pricing strategy across a global