Expedia Group
Senior Data Scientist (Machine Learning Scientist) - Traveler Engagement & Loyal
Expedia Group, San Jose, California, United States, 95199
Senior Data Scientist (Machine Learning Scientist) - Traveler Engagement & Loyalty Team
Senior Machine Learning Scientist - Traveler Engagement & Loyalty team (San Jose)
Introduction to the Team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.
Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia’s AI-first vision.
Responsibilities
Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies
Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data
Design and analyze A/B experiments to validate model performance and drive product decisions
Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments
Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes
Stay current with advancements in recommendation research, deep learning architectures, and personalization systems
Mentor junior scientists and engineers, sharing best practices in ML modeling, experimentation, and deployment
Minimum Qualifications
PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
8+ years of related industry experience
Experience building production-grade recommendation or personalization systems
Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference
Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
Experience with distributed systems like Apache Spark
Familiarity with A/B testing and experimentation methodologies
Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy
Excellent communication skills for both technical and non-technical audiences
Preferred Qualifications
Experience in the travel or e-commerce industry
Familiarity with cloud platforms (AWS, GCP, Azure)
Publications in top-tier ML conferences or journals
Contributions to open-source ML projectsExperience in personalization systems or CRM-focused ML applications
Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams
Seniority level Mid-Senior level
Employment type Full-time
Job function Analyst, Information Technology, and Product Management
Industries Software Development, Data Infrastructure and Analytics, and Technology, Information and Media
Benefits
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
Disability insurance
Tuition assistance
Referrals increase your chances of interviewing at Expedia Group by 2x
#J-18808-Ljbffr
Introduction to the Team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.
Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia’s AI-first vision.
Responsibilities
Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies
Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data
Design and analyze A/B experiments to validate model performance and drive product decisions
Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments
Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes
Stay current with advancements in recommendation research, deep learning architectures, and personalization systems
Mentor junior scientists and engineers, sharing best practices in ML modeling, experimentation, and deployment
Minimum Qualifications
PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
8+ years of related industry experience
Experience building production-grade recommendation or personalization systems
Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference
Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
Experience with distributed systems like Apache Spark
Familiarity with A/B testing and experimentation methodologies
Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy
Excellent communication skills for both technical and non-technical audiences
Preferred Qualifications
Experience in the travel or e-commerce industry
Familiarity with cloud platforms (AWS, GCP, Azure)
Publications in top-tier ML conferences or journals
Contributions to open-source ML projectsExperience in personalization systems or CRM-focused ML applications
Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams
Seniority level Mid-Senior level
Employment type Full-time
Job function Analyst, Information Technology, and Product Management
Industries Software Development, Data Infrastructure and Analytics, and Technology, Information and Media
Benefits
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
Disability insurance
Tuition assistance
Referrals increase your chances of interviewing at Expedia Group by 2x
#J-18808-Ljbffr