Expedia, Inc.

Expedia, Inc. is seeking a skilled software engineer to design robust systems that enhance customer experiences. You will work on multi-domain solutions and integrate cutting-edge technology within a collaborative environment. The ideal candidate will have a Bachelor's in Computer Science, with 5+ years in software development, particularly in cloud environments. Join us to shape the future of travel through innovative technology!

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. Benefits 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. Introduction to the team The Unified Personalization Service team is part of Expedia Product & Technology. UPS is building Expedia Group's centralized, real time personalization engine across brands and channels, powering ranking, recommendations, retrieval, and other adaptive experiences that help travelers see more relevant, contextual, and useful experiences throughout their journey. Role Overview We are looking for a Machine Learning Scientist III to help build production ML systems for personalization, with emphasis on deep learning, neural recommender systems, sequential and session based modeling, embeddings, scalable experimentation, and reliable model deployment. In this role, you will Develop, apply, and advance machine learning solutions for personalization use cases, translating business and customer problems into scalable scientific approaches and production ready models. Design experiments, evaluate model performance, and use data driven methods to improve relevance, ranking, recommendation, and overall customer experience across personalization systems. Partner across engineering, product, analytics, and science teams to define solution approaches, influence technical direction, and deliver ML capabilities that can operate across multiple products and domains. Contribute technical depth in model development, feature design, data preparation, offline and online evaluation, and the operationalization of machine learning solutions in production environments. Apply strong technical judgment to system design, API design, data modeling, and low level solution design that support robust, maintainable, and extensible ML powered services. Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, a related technical field, or equivalent professional experience. 5+ years of relevant experience in machine learning, applied science, data science, or software development, including delivering production grade ML solutions. Demonstrated ownership of machine learning solutions within a service, multi service, or domain level scope, with accountability for model quality, experimentation, and operational performance. Strong foundation in machine learning methods, statistical analysis, experimentation, feature engineering, and working with large scale datasets in production environments. Proficiency in software engineering practices for scientific systems, including coding, low level design, API design, data modeling, and collaboration with engineering teams to productionize solutions. Preferred Qualifications Advanced degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related technical field. Experience building and scaling personalization, recommendation, ranking, retrieval, or relevance models in large, complex consumer facing environments. Experience with neural recommendation systems, sequential or session based recommendation, transformer based recommenders, semantic retrieval, or representation learning at scale. Experience with foundation models, LLMs, embedding models, semantic IDs, hybrid LLM recommender systems, or retrieval augmented personalization workflows. Demonstrated ability to use data, metrics, and experimentation to guide prioritization and decision making while balancing scientific rigor, product impact, and platform scalability. Experience with production ML workflows such as model serving, experimentation frameworks, feature or data pipelines, monitoring, model lifecycle management, or MLOps. Accommodation Request If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team. Equal Opportunity Employer Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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. The team As a Fullstack engineer in the Product Experience team, you will be responsible for building and maintaining our high availability, high transactional Property Detail Pages on the app. You will be part of a multi functional team of Product Managers, TPMs, Engineering Managers, and Software Engineers based in Gurgaon, Bangalore, London, and Madrid. We prioritise building high quality software with a focus on availability, performance, scalability, and system resiliency. Our London team is looking for curious, empathetic, and creative problem solvers with a growth mindset. We value our team culture and work together from the office three times a week. In this role, you will: Design, build, and maintain robust full stack applications and scalable services across multiple domains, applying deep technical expertise and architectural skills. Lead the end to end development process, including system design, API design, and data modelling, ensuring quality and maintainability of solutions. Collaborate across engineering, product, and business teams to define requirements, deliver impactful features, and drive technology strategy. Mentor and guide engineers, fostering best practices in coding, testing, and operational excellence within and across teams. Safely integrate and operate AI/ML enabled solutions to improve business and customer outcomes, ensuring secure and ethical adoption. Demonstrate adaptability by contributing to projects spanning different technical stacks, domains, and platforms. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 8+ years of relevant professional experience. Strong engineering skills and curiosity to push what's possible with modern tech, regardless of stack. Ability to break down complex problems and ship simple, innovative solutions with a cross functional team. Proven experience building scalable, user centric products that power great user experiences. Clear, concise communication skills, translating technical details for both technical and non technical audiences. Growth minded and data driven, always learning, experimenting, and raising the bar for how we build products and experiences. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Hands on experience with multiple system architectures (e.g. microservices, event driven, composable) and the ability to evaluate and communicate the trade offs between them for scale, reliability, and speed of delivery. Proven track record of refactoring and modernising legacy codebases and architectures, improving performance and maintainability while minimising risk and customer impact. Track record of integrating and optimizing AI/ML enabled features or workflows within production systems. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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 we 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. Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high quality experiences for travellers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalised experiences that drive loyalty and traveller satisfaction. Price is a key factor influencing travellers' path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travellers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with providing the customer with simple, clear, accurate, and transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared with and presented to the customer, meeting travellers' expectations in locally relevant ways and adhering to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain to power all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross functional teams to deliver high quality, full stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands on experience designing, building, and operating large scale, distributed systems and services. Strong proficiency in system design, API design, and data modelling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end to end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimising their impact at scale. On Call Requirement This position requires the employee to be on call outside of regular working hours. On call duties encompass: Responding to emergencies or incidents as they arise. Providing prompt support and solutions. Participating in on call rotations, including nights, weekends, and bank holidays. Remaining reachable by phone or other communication methods at all times during on call periods. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability, or age.

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. Benefits 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. Introduction to the team The Unified Personalization Service team is part of Expedia Product & Technology. UPS is building Expedia Group's centralized, real time personalization engine across brands and channels, powering ranking, recommendations, retrieval, and other adaptive experiences that help travelers see more relevant, contextual, and useful experiences throughout their journey. Role Overview We are looking for a Machine Learning Scientist III to help build production ML systems for personalization, with emphasis on deep learning, neural recommender systems, sequential and session based modeling, embeddings, scalable experimentation, and reliable model deployment. In this role, you will Develop, apply, and advance machine learning solutions for personalization use cases, translating business and customer problems into scalable scientific approaches and production ready models. Design experiments, evaluate model performance, and use data driven methods to improve relevance, ranking, recommendation, and overall customer experience across personalization systems. Partner across engineering, product, analytics, and science teams to define solution approaches, influence technical direction, and deliver ML capabilities that can operate across multiple products and domains. Contribute technical depth in model development, feature design, data preparation, offline and online evaluation, and the operationalization of machine learning solutions in production environments. Apply strong technical judgment to system design, API design, data modeling, and low level solution design that support robust, maintainable, and extensible ML powered services. Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, a related technical field, or equivalent professional experience. 5+ years of relevant experience in machine learning, applied science, data science, or software development, including delivering production grade ML solutions. Demonstrated ownership of machine learning solutions within a service, multi service, or domain level scope, with accountability for model quality, experimentation, and operational performance. Strong foundation in machine learning methods, statistical analysis, experimentation, feature engineering, and working with large scale datasets in production environments. Proficiency in software engineering practices for scientific systems, including coding, low level design, API design, data modeling, and collaboration with engineering teams to productionize solutions. Preferred Qualifications Advanced degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related technical field. Experience building and scaling personalization, recommendation, ranking, retrieval, or relevance models in large, complex consumer facing environments. Experience with neural recommendation systems, sequential or session based recommendation, transformer based recommenders, semantic retrieval, or representation learning at scale. Experience with foundation models, LLMs, embedding models, semantic IDs, hybrid LLM recommender systems, or retrieval augmented personalization workflows. Demonstrated ability to use data, metrics, and experimentation to guide prioritization and decision making while balancing scientific rigor, product impact, and platform scalability. Experience with production ML workflows such as model serving, experimentation frameworks, feature or data pipelines, monitoring, model lifecycle management, or MLOps. Accommodation Request If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team. Equal Opportunity Employer Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Expedia, Inc. is looking for a Machine Learning Specialist to design and develop AI-driven models for personalized experiences. With a strong focus on data analysis and cross-functional collaboration, candidates should possess at least 8 years of relevant experience and a Bachelor's degree in Computer Science or a related field. The role is based in Greater London and includes a comprehensive benefits package, aiming to create a diverse and inclusive work environment.

Introduction to the team The Unified Personalization Service (UPS) team is part of Expedia Product & Technology. UPS builds Expedia Group's centralized, real time personalization engine across brands and channels, powering ranking, recommendations, retrieval, and other adaptive experiences that help travelers see more relevant, contextual, and useful experiences throughout their journey. Benefits We provide a full benefits package, including exciting travel perks, generous time off, parental leave, flexible work model, and career development resources to fuel employees' passion for travel and ensure a rewarding career journey. In this role, you will: Design, develop, and apply machine learning solutions to real world personalization, product, and business problems, translating ambiguous opportunities into scalable models, experiments, and production ready capabilities. Drive end to end scientific work across problem formulation, data exploration, feature engineering, model development, evaluation, and iteration, with strong attention to measurable impact. Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into services and workflows, including system design, API design, and data modeling considerations. Use strong technical judgment to select appropriate methods, validate outcomes, and improve model performance, reliability, and operational quality across multiple problem domains. Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products. Contribute deep technical expertise across related domains, helping raise scientific and engineering quality through experimentation, documentation, mentoring, and reusable approaches that support broader team effectiveness. Minimum Qualifications Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 8+ years of relevant professional experience. Demonstrated ownership of machine learning solutions at the service or multi service level, including problem definition, model development, evaluation, and operationalization within a product or technical domain. Strong foundation in machine learning methods, statistical analysis, experimentation, and data driven decision making, with hands on coding experience in scientific and production oriented environments. Experience working with cross functional partners to deploy technical solutions, with core expectations in scalable model development, data modeling, and integration into software systems. Preferred Qualifications Advanced degree in Machine Learning, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Experience delivering machine learning solutions at scale, including architecture considerations, production monitoring, model lifecycle management, and operational excellence in live environments. Demonstrated ability to influence technical direction within a domain through rigorous experimentation, strong scientific reasoning, pragmatic solution design, and clear communication with cross functional partners. Strong experience with recommendation, ranking, retrieval, search, personalization, ads, marketplace, e commerce, or similarly complex applied ML systems. Experience with neural recommendation systems, sequential or session based recommendation, transformer based recommenders, semantic retrieval, generative retrieval, or representation learning at scale. Experience with foundation models, LLMs, embedding models, semantic IDs, hybrid LLM recommender systems, two stage retrieval and ranking systems, or retrieval augmented personalization workflows. Relevant academic publications, patents, open source contributions, technical blog posts, industry talks, or other contributions to the ML/recommender systems community. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability, or age.

Expedia, Inc. is seeking a Senior Strategic Initiatives Manager for its Lodging division to lead strategy and P&L agendas aimed at enhancing traveler experience. This role involves collaboration with Marketing, Product, and other departments to identify growth opportunities and improve customer engagement. The ideal candidate should have over 8 years of experience in relevant fields, a strong problem-solving ability, and data-driven decision-making skills.

Senior Strategic Initiatives Manager, Expedia Lodging Brand Expedia is seeking a Senior Strategic Initiatives Manager, Expedia Lodging to drive the next chapter of growth and customer experience for our Hotels & Vacation Rentals business. You will own the strategy and P&L agenda for priority lodging initiatives, shaping how millions of travelers discover, book, and experience stays on Expedia. In this role, you will sit at the intersection of growth strategy, customer lifecycle, and traveler experience. This highly cross functional role partners closely with Marketing, Product, Supply, Servicing, Analytics, and Finance to identify the biggest opportunities, build the roadmap, and lead end to end execution from idea to scaled impact. In this role, you will: Set the strategic agenda for Expedia Lodging (Hotels & Vacation Rentals): define the ambition, key bets, and multi year roadmap that deliver profitable growth and a differentiated traveler experience. Own a portfolio of high impact strategic initiatives across the traveler lifecycle: focus on step change improvements in conversion, repeat rate, customer satisfaction, and market share. Lead cross functional programs end to end: frame the problem, size the opportunity, align stakeholders, stand up workstreams, and ensure on time, high quality execution across Marketing, Product, Supply, Servicing, Legal, and Finance. Use data to drive decisions and understand customer needs: partner with Analytics and Data Science to build business cases, design A/B tests, measure impact, and continuously refine the strategy based on performance and customer insights. Optimize commercial and operational levers: across pricing, promotions, merchandising, incentives, and service design to balance growth, margin, and customer experience, in order to ensure successful execution towards Expedia's annual plan. Shape the traveler and partner experience: identify friction points across the end to end journey (search to post trip), prioritize fixes and enhancements, and work with Product and Operations to deliver scalable solutions. Drive change and organizational alignment: create clear narratives, materials, and playbooks that help teams understand the strategy, adopt new ways of working, and execute consistently across markets. Collaborate with regional and local market teams: to ensure strategies and initiatives are localized, executable on the ground, and responsive to competitive dynamics. Experience & Qualifications 8+ years of relevant experience with a Bachelor's degree, or 6+ years with a Master's degree. Proven experience in strategy, marketplace/retail e commerce, advertising, or management consulting, including ownership of commercial outcomes. Strong problem solving abilities with a demonstrated commitment to test and learn approaches and data driven decision making. Experience working closely with Product, Marketing, Servicing, and Sales/Commercial teams; able to translate strategy into clear requirements and operational changes. Ability to influence stakeholders at all levels of the organization and drive alignment across diverse teams. Ability to craft compelling, insight driven narratives using data and communicate them clearly to a wide audience. Comfort with ambiguity, demonstrated ability to scope, plan, and deliver strategic projects involving multiple stakeholders. Developing subject matter expertise in key business topics, with the ability to translate insights into actionable plans. Preferred Qualifications Experience serving as a trusted advisor to leaders and cross functional partners on strategy, operational improvements, or business transformation. Expertise conducting advanced data analyses, including building robust models and analytical frameworks to inform decisions. Strong understanding of industry trends, performance metrics, and competitive landscapes. Demonstrated ability to design new data collection methodologies and synthesize insights from diverse sources. Proven ability to anticipate business needs, understand organizational dependencies, and navigate complex project environments. Experience assessing financial impacts of change initiatives and supporting strategic investment decisions. The total cash range for this position in Seattle is $155,000.00 to $217,000.00. Employees in this role have the potential to increase their pay up to $248,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request process. Expedia 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 identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I 9 to confirm work authorization.

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. Data Scientist III A senior individual contributor responsible for delivering advanced analytics, experimentation, and decision science solutions in support of SPA's commercial objectives. This role focuses on: Advanced reporting and dashboarding for SPA stakeholders Statistical analysis and experimentation (including incrementality testing) Partner, client, and overall commercial performance analysis Analytical support for leadership discussions and investment decisions Building and maintaining decision science tooling, including AI enabled workflows and automations A Data Scientist III at Expedia is expected to work independently on complex, well defined problems, apply sound judgment in selecting analytical approaches, and influence decisions through high quality insights and storytelling. While this role does not manage people, it plays a meaningful role in shaping how data is used across the SPA organization. Key Responsibilities Advanced Reporting & Analytics Design, develop, and maintain advanced dashboards and performance reporting used by commercial, finance, and leadership stakeholders. Ensure analytical outputs are accurate, scalable, and aligned with agreed commercial KPIs. Proactively identify improvements in reporting structure, clarity, and usability. Experimentation & Statistical Testing Design and analyze commercial experiments, including A/B tests, incrementality tests, and quasi experimental analyses. Select and apply appropriate statistical methods to evaluate causal impact and commercial effectiveness. Clearly document and communicate methodology, assumptions, results, and implications for decision making. Commercial & Partner Performance Analysis Perform in depth analyses of partner and client performance to identify drivers of growth, underperformance, and opportunity. Analyze overall SPA commercial performance to surface trends, risks, and actionable insights for leadership. Collaborate with commercial and finance partners to interpret results and align on conclusions. Decision Support & Investment Analytics Deliver analytical insights to support prioritization and investment decisions discussed with the SPA Leadership Team. Build scenario analyses, forecasts, and frameworks that inform trade offs and expected returns. Act as a trusted analytical partner in commercial discussions, grounding recommendations in data and evidence. Decision Science Tooling & Automation Build, maintain, and iterate on decision science tools, models, and reusable analytical assets. Contribute to AI powered workflows and automations that improve analytical efficiency and scalability. Identify repeatable analytical processes that can be standardized or automated. Scope & Level Indicators (Data Scientist III) Works independently on complex analyses with limited oversight. Owns analytical delivery for defined problem spaces or business areas within SPA. Influences stakeholders through insight quality, clarity, and commercial relevance. Applies established data science, statistical, and experimentation techniques confidently. May mentor or review work of more junior analysts, without formal people management responsibility. Contributes to improving analytics practices and tooling, without owning org wide analytics strategy. Qualifications Experience Typically 3-5+ years of experience in data science, analytics, or a related quantitative role. Bachelor's degree in a quantitative field such as Analytics, Economics, Computer Science or equivalent professional experience. Master's degree a plus. Experience in e commerce, marketplaces, marketing analytics, or partner driven businesses strongly preferred. Technical & Analytical Skills Advanced SQL with experience working on large, multi source datasets. Strong foundation in statistics, experimentation, and causal analysis. Proficiency with modern AI based coding tools (i.e. Claude Code) Proficiency in Python or R for analysis and modeling. Experience with data engineering, visualization, and dashboarding tools (e.g., Querybook, JupyterHub, Databricks, Tableau, Power BI, or similar). Business & Communication Skills Strong business judgment with the ability to translate analysis into commercial insights. Ability to communicate complex analytical findings clearly to non technical audiences. Comfortable engaging with senior stakeholders through data driven narratives. Demonstrates rapid adoption of new tools and techniques to increase speed to insights. Actively seeks and implements process improvements and automation to reduce analysis time. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through Accommodation Request. Equal Employment Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Expedia, Inc. is seeking a Principal iOS Engineer to lead the development of advanced iOS applications within the Search and Recommendations team. You will oversee the architecture and implementation of scalable systems while integrating AI-driven solutions to enhance user experiences. This role requires a Bachelor's degree in Computer Science and over 12 years of relevant experience, especially in managing iOS services in multi-service environments. The position promotes collaboration and adherence to software engineering best practices in a dynamic work culture.

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 Team The Product Team creates high quality end to end experiences for travelers, partners, and Expedia Group. Our focus on customer centric innovation enables us to develop products that build loyalty and repeat business. We partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company. This Principal iOS Engineer sits within the Search and Recommendations Experience team which owns the end to end search and recommendations experience, including search entry, results, maps, filters, and recommendations across multiple lines of business such as lodging, cars, activities, flights and packages. In this role, you will provide technical leadership for native search and discovery experiences, setting architectural direction, influencing engineering standards, and shaping the evolution of AI enabled capabilities across the mobile platform. In this role you will: Lead the design, development, and maintenance of advanced iOS applications, ensuring high performance, quality, and responsiveness across Expedia Group's product suite. Architect and implement robust, scalable system and API designs, including effective data modeling to support complex business requirements. Drive cross functional collaboration to define, develop, and ship impactful features, ensuring alignment with organizational goals and technical strategy. Champion best practices in software engineering, testability, and maintainability through code reviews and mentoring. Safely integrate and operate AI/ML enabled solutions to enhance user experience and improve operational outcomes. Troubleshoot, optimise, and resolve complex technical issues, contributing to the continuous improvement of services and domain capabilities. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 12+ years of relevant professional experience. Demonstrated experience owning the full lifecycle of iOS services or features within a multi service or domain environment. Proficiency in Swift, Objective C, and iOS frameworks, with a strong understanding of system and API design principles. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Experience architecting scalable, complex, modular, and maintainable iOS mobile architectures, leveraging common design patterns such as MVVM or VIPER. Advanced proficiency in SwiftUI - Skilled in multi threading, concurrency, and performance optimisation. Prior experience in the search domain or travel industry, such as building or scaling search, discovery in consumer mobile apps. Experience establishing technical strategy, best practices, and operational excellence for organisational mobile platforms. Advanced knowledge of integrating AI/ML capabilities into mobile products to enhance functionality and user engagement. Demonstrated experience collaborating within large, globally dispersed development teams. Expertise in cross platform or multi domain engineering, contributing to broad technical initiatives. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Expedia, Inc. is looking for a Data Scientist III in Greater London. This senior role will involve delivering advanced analytics and decision science solutions to support commercial objectives. The ideal candidate will design dashboards, perform statistical analysis, and support business decisions through data-driven insights. Strong SQL, Python, and communication skills are essential. Join a diverse and inclusive team that prioritizes employee well-being and offers generous benefits.

Expedia Group brands power global travel for everyone, everywhere. In this role, you will: Define and own the product strategy and roadmap for a set of partner-facing products that power AI-driven planning, shopping, and servicing experiences on top of Expedia Group's B2B platforms. Run structured discovery with internal teams and external partners to surface use cases, prioritize problems, and translate them into clear product opportunities and requirements. Lead partner co-development and prototyping engagements, turning early concepts into scoped pilots and reusable product capabilities. Drive end-to-end execution with engineering, data science, design, and program management; from design through delivery, launch, and iteration; and ensure clear specs and launch documentation are in place. Own high-quality product requirements and user stories, and partner with engineering in an Agile development process to break work down, manage dependencies, and prioritize the roadmap using data-informed criteria. Establish success metrics, instrumentation, and experiment plans, and use data and partner feedback to inform prioritization and continuous improvement. Ensure AI features are grounded in strong safety, reliability, and governance principles in partnership with platform, legal, and risk teams. Represent B2B AI Solutions in cross-team forums, influencing adjacent product areas so that partner AI scenarios are consistently supported across Expedia Group. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, Business, or related field; or equivalent related professional experience. 5+ years of product management experience with a Bachelor's degree, or 3+ years with a Master's degree (or equivalent), including primary ownership of a product area or service. Demonstrated experience with B2B or platform products (e.g., APIs, SDKs, white label). Strong technical fluency working with engineering on integration patterns, data flows, and system constraints. Proven ability to run customer/partner discovery (interviews, workshops, problem framing) and translate insights into clear product requirements and roadmaps. Strong analytical skills and experience using metrics, instrumentation, and experiments to prioritize work and assess impact. Excellent written and verbal communication skills, with a track record of aligning cross-functional teams (engineering, design, data, commercial, operations) around product decisions in ambiguous spaces. Preferred Qualifications: Experience working on AI-enabled or AI-enabling products (e.g., natural language search, conversational experiences, decisioning systems, LLM tools, AI agents, Multi-agent Systems). Hands on experience running co development or pilot programs with external partners. Demonstrated success in 0 to 1 product building, preferably in B2B back end platforms. Comfort using modern prototyping tools (e.g., API clients, notebooks, AI assisted coding tools) to explore ideas and make requirements concrete with engineering and partners. We welcome accommodation requests. If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our recruiting accommodations team. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Expedia Group brands power global travel for everyone, everywhere. In this role, you will: Define and own the product strategy and roadmap for a set of partner-facing products that power AI-driven planning, shopping, and servicing experiences on top of Expedia Group's B2B platforms. Run structured discovery with internal teams and external partners to surface use cases, prioritize problems, and translate them into clear product opportunities and requirements. Lead partner co-development and prototyping engagements, turning early concepts into scoped pilots and reusable product capabilities. Drive end-to-end execution with engineering, data science, design, and program management; from design through delivery, launch, and iteration; and ensure clear specs and launch documentation are in place. Own high-quality product requirements and user stories, and partner with engineering in an Agile development process to break work down, manage dependencies, and prioritize the roadmap using data-informed criteria. Establish success metrics, instrumentation, and experiment plans, and use data and partner feedback to inform prioritization and continuous improvement. Ensure AI features are grounded in strong safety, reliability, and governance principles in partnership with platform, legal, and risk teams. Represent B2B AI Solutions in cross-team forums, influencing adjacent product areas so that partner AI scenarios are consistently supported across Expedia Group. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, Business, or related field; or equivalent related professional experience. 5+ years of product management experience with a Bachelor's degree, or 3+ years with a Master's degree (or equivalent), including primary ownership of a product area or service. Demonstrated experience with B2B or platform products (e.g., APIs, SDKs, white label). Strong technical fluency working with engineering on integration patterns, data flows, and system constraints. Proven ability to run customer/partner discovery (interviews, workshops, problem framing) and translate insights into clear product requirements and roadmaps. Strong analytical skills and experience using metrics, instrumentation, and experiments to prioritize work and assess impact. Excellent written and verbal communication skills, with a track record of aligning cross-functional teams (engineering, design, data, commercial, operations) around product decisions in ambiguous spaces. Preferred Qualifications: Experience working on AI-enabled or AI-enabling products (e.g., natural language search, conversational experiences, decisioning systems, LLM tools, AI agents, Multi-agent Systems). Hands on experience running co development or pilot programs with external partners. Demonstrated success in 0 to 1 product building, preferably in B2B back end platforms. Comfort using modern prototyping tools (e.g., API clients, notebooks, AI assisted coding tools) to explore ideas and make requirements concrete with engineering and partners. We welcome accommodation requests. If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our recruiting accommodations team. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.