Senior Machine Learning Scientist - CRM Marketing
AI summary of the role
This Senior Machine Learning Scientist role on the CRM Marketing team at Expedia Group owns the ML systems behind personalized CRM offers for hundreds of millions of travelers.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Help define the ML science roadmap for CRM personalization, sequencing initiatives against business strategy.
- Build and own production ML systems from problem framing through deployment and iteration.
- Partner with marketing, analytics, and engineering to deliver reliable production systems.
- Evolve experimentation and measurement to validate ideas and quantify impact.
What you’ll bring
- Master’s or PhD in Operations Research, Applied Mathematics, Statistics, Economics, Computer Science, or related field.
- 6+ years (Master’s) or 4+ years (PhD) of experience applying ML to real-world problems with production systems.
- Proficiency across core ML methods (supervised, unsupervised, statistical modeling).
- Strong experimentation and statistics fundamentals (A/B testing, causal inference).
Technologies
Python · SQL · Spark · Databricks · CI/CD · ML monitoring · deep learning · reinforcement learning · multi-armed bandits · causal inference
About Expedia Group
Operates Expedia, Hotels.com, and Vrbo, connecting travelers with hotels, flights, and vacation rentals while monetizing supply partners via advertising and a B2B distribution marketplace.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. This role is part of a focused machine learning science team within Marketing that builds the ML systems behind personalized CRM offers for Expedia Group’s travelers. Our models determine which customers to reach, when to engage them, and what incentive to offer — powering retention, reactivation, and growth campaigns that touch hundreds of millions of travelers worldwide. We continuously improve the algorithms that power campaign targeting - moving toward fully ML-driven personalization at scale - and this role will help define that technical roadmap. In this role, you will:
More from the job description
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Introduction to the Team We create and deliver tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. This role is part of a focused machine learning science team within Marketing that builds the ML systems behind personalized CRM offers for Expedia Group’s travelers. Our models determine which [... source excerpt omitted ...] prove the algorithms that power campaign targeting - moving toward fully ML-driven personalization at scale - and this role will help define that technical roadmap. In this role, you will: Help define the ML science roadmap: Identify the highest-impact ML opportunities for CRM personalization, sequence initiatives against business strategy, and translate a multi-year vision into concrete, deliverable projects with clear milestones and measurable outcomes. Build and own production ML systems: Lead the full lifecycle — from problem framing and metric design through data exploration, modeling, evaluation, deployment, and iteration — for systems that run daily at scale, in partner [... source excerpt omitted ...] r across the business: Work with marketing to understand customer and campaign objectives, with analytics to shape measurement strategies, and with engineering to deliver reliable production systems — bringing business acumen and domain depth to every technical decision. Evolve experimentation and measurement: Strengthen how we test hypotheses and quantify impact — finding smarter, faster ways to validate ideas, reduce uncertainty, and build confidence in ML-driven decisions before and after they reach production. Tell the data story: Communicate findings, trade-offs, and recommendations clearly to technical and business audiences through effective data visualization and narrativ
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