Director of Marketing ML Science & Optimization

Expedia, Inc.; Seattle (WA); On-site; USD 224,000 - 358,500; Full time

Job summary

Expedia Group in Seattle is seeking a Director of Machine Learning Science to lead the applied science team for Marketing. You will own the strategy, roadmap, and OKRs for the ML systems powering bidding, capital allocation, and ROAS, partnering with Marketing, Product, Engineering, Finance, and Analytics leadership.

You will lead scientists and managers delivering production ML at scale, ensuring measurable business impact and strong cross‑functional collaboration.

Qualifications

• Graduate degree in ML, CS, statistics, or related field; PhD preferred.
• 10+ years of professional experience and 5+ years in people management.
• Track record delivering ML products from concept to production at scale.
• Depth in supervised and unsupervised learning, statistics, and experimentation.
• Experience with ML lifecycle, CI/CD, testing, observability, and reliable releases.

Responsibilities

• Own the strategy, roadmap, and OKRs for ML systems powering Marketing.
• Design and deliver production-grade ML models and optimization systems for bidding and ROAS.
• Apply rigorous experimentation to validate business impact.
• Recruit, develop, and retain ML scientists and managers.
• Prioritize investment across platform migration, new capabilities, and model innovation.
• Build partnerships across Product, Engineering, Finance, Analytics, and Marketing leadership.
• Navigate and influence data platform and ML stack in line with company goals.
• Contribute to the broader data science community at Expedia Group.

Skills

People management

ML product delivery

Communication

Mentoring

Experimentation

Education

PhD preferred

Graduate degree in ML/CS/Stats

Tools

Spark

Databricks

Kubernetes

GPU compute

Job description

Expedia Group in Seattle is seeking a Director of Machine Learning Science to lead the applied science team for Marketing. You will own the strategy, roadmap, and OKRs for the ML systems powering bidding, capital allocation, and ROAS, partnering with Marketing, Product, Engineering, Finance, and Analytics leadership.

You will lead scientists and managers delivering production ML at scale, ensuring measurable business impact and strong cross‑functional collaboration.