Machine Learning Scientist II at Expedia · Bengaluru

Machine Learning Scientist II Location: India - Bangalore 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 Are you excited by the opportunity to Power global travel for everyone, everywhere? Do you want to redefine the way people plan, search for, and book their travel? 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. At Expedia Group, we believe that travel brings the world together, and we are passionate about the endless possibilities. This role is a great opportunity join our EG Organic and Agentic Search team, which is working to design and build ML solutions and GenAI products that dynamically and efficiently provide the right information to travelers, while driving substantial growth in organic traffic and overall shopping conversion through the synergistic use of Data, AI, and Technology. Success in this role is fuelled by your innovative contributions to our automation products. You'll be instrumental in advancing machine learning methodologies to tackle complex business challenges. Your crucial skills include independently assessing model performance, crafting end-to-end solutions, and effectively communicating compelling rationales. Your proficiency in refining and optimizing practices, methodologies, and tools for the SEO team is pivotal for driving continuous improvement. You will collaborate closely with Machine Learning scientists, Data Scientists, Software Engineers, SEO Specialists, Data Engineers, Product Managers, Senior Leaders, and other business stakeholders across various Expedia Group locations worldwide. In this role, you will: Build,maintain, and evaluate machine learning models using supervised, unsupervised, and reinforcement learning techniques, with support in model selection, regularisation, and performance evaluation. Extract and combine data from multiple sources,andwrite clean, maintainable, modular code using Python, Java, SQL, or similarMLfocused languages. Conductcontextengineering, apply statistical methods, design experiments, and chooseappropriate analyticalapproaches based on model assumptions, businessobjectives, and data constraints. Build GenAI solution to drive organic traffic acquisition and bettertravelerprogressiononlanding pages.Using machine learning to continuously improve relevance, readability, factualaccuracyand alignment with search intent – ensuring editorial content drives organic traffic and engagement. Understand and articulate model design decisions, including algorithm choice, evaluation approach, and data sources, while engaging with the research community to apply relevant innovations. Apply visualization and UX principles to produce clear, consistent charts, build complex visualizations with minimal supervision, and embed outputs using common visualisation tools. Communicate technical concepts clearly to technical and nontechnical partners, craftwell-structuredpresentations,anticipatequestions, and tailor messaging to different audiences. Collaborate across teams, contribute to documentation and communication materials, share findings with peers and leaders, and proactively supportcross-functionalalignment. Frame business problems as data science tasks, manage project backlogs, deliver work that aligns with business timelines, and remain persistent and creative when facing roadblocks. Demonstrate strong business understanding, connecting organisational processes and challenges with data science opportunities to maximise impact. Experience and qualifications: Bachelor's or master's degree in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar 2+ years of relevant experience in Machine Learning. Strongproficiencywith Python /Pysparkand SQL. Demonstrated ability to build andmaintainmultiple data science project/product in production environments. Extensive experience one or more of the following: advanced statistical techniques for A/B testing, multi-armed bandit testing, methods for experimental design, observational causal inference, or quasi-experimental analysis Record of accomplishment for executing independent projects and leading complex, multi-functional projects with several dependencies. You understand the concepts and steps involved in working with real-world large data sets: from domain-specific problem understanding, data preparation, travel-related data processing, data integration, data structures for ML, data pipelining, datamodeling, and AI/ML algorithms; strong data science knowledge and skills. Advancedproficiencyin GitHub for collaborative development and version control Proficient in cloud computing, specializing in big data applications and leveragingMLOpsfor streamlined machine learning model deployment. You have proven knowledge of ML techniques such as Neural Networks,XGBoost, Bayesian methods, clustering, decision trees, random forests, NLP, etc., excellent grasp of statistical concepts and methods. You have a passion for solving problems and finding patterns and insights within structured and unstructured data GenAI/LLM experience is a bonus 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 Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. 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.