A technical leader and domain pioneer leading data science and analytics to drive AI innovation, optimize campaigns, and create significant business impact for eBay.
Locations (2)
Toronto, Ontario, Canada
San Jose, California, United States
Responsibilities
Serve as an inspiring leader and domain lead for data science and analytics, guiding strategic roadmaps powered by eBay's extensive datasets.
Define, build, and track next-generation, AI-enhanced measures to evaluate product performance and lead automated health monitoring.
Architect and deploy predictive models, AI algorithms, and experimental frameworks to unlock high-impact growth opportunities and redefine product strategy.
Develop self-service dashboards and data visualization tools.
Partner with multi-functional teams to prioritize key business challenges and build outstanding AI and analytics solutions that unlock operational efficiencies.
Requirements
Master’s degree or equivalent experience in a quantitative field (Engineering, Statistics, Applied Econometrics, Math, Physics, and CS)
MBA with over 10 years in analytics or finance roles
Lead advanced machine learning research and deployment for Expedia’s search and personalization AI systems.
Compensation
The total cash range for this position in Seattle is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Drive the research, design, and deployment of advanced machine learning solutions for large-scale search and recommendation systems
Architect hybrid multi-modal retrieval frameworks, combining text, image, and structured data to power relevant and diverse content discovery
Develop and optimize multi-stage ranking pipelines, leveraging deep learning, generative retrieval, and other advanced algorithms to maximize relevance and engagement
Lead efforts on intent understanding, utilizing user queries, behavioral signals, and context for superior search and recommendation accuracy
Advance personalization strategies using embeddings, user-item modeling, and context-aware algorithms to tailor content to individual users
Requirements
PhD or MS in Computer Science, Machine Learning, Statistics, Engineering, or related field; or equivalent professional experience
Nice to have: experience in the travel or e-commerce industry
Nice to have: familiarity with cloud platforms (AWS, GCP, Azure)
Nice to have: publications in top-tier ML conferences or journals