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Evaluate strategic investments for Expedia’s B2B business by developing financial models, business cases, ROI analyses, forecasts, and performance reporting. Partner with finance, product, technology, commercial, and operational leaders to support resource allocation, prioritization, investment governance, and trade-off decisions. Translate complex financial information into executive recommendations, monitor benefit realization, improve planning processes, and provide reliable decision support in a fast-moving environment.

Design, develop, and maintain batch and real-time data pipelines and highly available distributed data systems. Process large datasets, apply data modeling and testing practices, monitor production systems, troubleshoot issues, and optimize performance and cost. Lead code reviews, make technical architecture decisions, collaborate across teams, and mentor junior engineers while improving engineering processes and operational practices.

Develops scalable machine learning solutions for personalized recommendations, learning to rank, and relevance optimization. Responsibilities include data preprocessing, model deployment, A/B testing, experimentation, algorithm improvement, and cross-functional collaboration. The role requires communicating technical results to diverse stakeholders and working across the technology stack to deliver high-throughput, low-latency ML systems for Expedia Group’s B2B travel business.

Acquire and onboard new hotel partners through outreach, qualification, objection handling, negotiation, contracting, and launch setup. Manage territory pipelines in CRM, improve listing quality and partner activation, analyze performance data, collaborate with operations and integrations teams, and contribute to market insights and sales enablement.

Analyze pricing, profitability, competitiveness, and elasticity to support revenue optimization initiatives. Extract and combine data, develop analytics, collaborate with commercial and machine learning teams, translate business needs into technical requirements, and advise senior leaders on strategy. The role requires applying statistics and data science to improve partner performance and Expedia’s B2B revenue.

Design and maintain scalable ML infrastructure for training, deployment, serving, data pipelines, feature engineering, monitoring, and model performance optimization. Collaborate with data scientists to productionize models, implement MLOps and CI/CD practices, research technologies, mentor junior engineers, and provide technical guidance across teams.

Design, develop, test, and maintain scalable software features and services for Expedia’s TAAP B2B platform. Build Java and JVM-based backend systems, React.js interfaces, RESTful APIs, and microservices. Participate in architecture, code reviews, troubleshooting, production support, and DevOps improvements while collaborating with product, design, and engineering teams.