Senior Machine Learning Scientist - CRM Marketing

• Build and own production ML systems: lead the full lifecycle from problem framing to deployment for systems that run daily at scale.
• Partner across the business: collaborate with marketing, analytics, and engineering to align objectives and deliver reliable production systems.
• Improve experimentation and measurement: develop smarter, faster methods to validate ideas and quantify impact before and after production.
• Communicate data stories: present findings, trade-offs, and recommendations clearly to technical and business audiences.
• Raise the bar: mentor scientists, drive adoption of modern AI tools, and champion standards for rigor, reproducibility, and documentation.

• Master's or PhD in a quantitative field (eg, Operations Research, Applied Mathematics, Statistics, Economics, Computer Science) or equivalent experience.
• 6+ years (Master's) or 4+ years (PhD) of experience applying machine learning to real-world problems with production-ready systems that deliver measurable business impact.
• Proficiency in core ML methods (supervised, unsupervised, statistical modeling) and depth in at least one relevant area.
• Strong experimentation and statistics fundamentals for designing rigorous experiments and producing reliable analyses.
• Fluency in Python, SQL, and distributed data processing (Spark/Databricks), solid software engineering practices, and familiarity with modern AI development tools.
• Leadership in cross-functional ML projects, aligning stakeholders on metrics and timelines, and clear communication to technical and non-technical audiences.

Preferred

• Deep knowledge of constrained optimization, operations research, or budget allocation methods for balancing reach, relevance, and return on investment.
• Deep understanding of causal inference and experience applying observational techniques to measure incremental effects.
• Experience with CRM personalization, loyalty marketing, incentive optimization, or customer retention systems.
• Experience with deep learning, reinforcement learning, or multi-armed bandits in real-world decision systems.
• Experience with customer lifetime value modeling, churn prediction, or propensity scoring.
• Hands-on ML production practices: CI/CD for ML, model monitoring, observability, and automated pipelines.

Compensation: The base salary range in Seattle is $173,000.00 to $242,500.00, with potential for up to $277,000.00 based on performance.

Benefits: Full benefits package including medical, dental, vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent membership.

Seattle, WA - $173k - $242.5k Full Time Posted by: Expedia Group Posted: Sunday, 17 May 2026 Expedia Group's brands leverage cutting-edge technology to power travel worldwide. This role is part of a machine learning science team within Marketing that builds the systems behind personalized CRM offers for Expedia Group's travelers, determining when and how to engage customers to drive retention, reactivation, and growth. Introduction to the Team We create and deliver tailored marketing strategies for Expedia Group's brands, establishing strong connections and cohesive experiences for travelers and partners. Our functional expertise and creative excellence build trust and loyalty through innovative marketing approaches and technology. In This Role * Help define the ML science roadmap: identify high-impact ML opportunities for CRM personalization and translate a multi-year vision into deliverable projects with clear milestones., Expedia Group is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, age, or veteran status. This employer participates in E-Verify.