{"id":2378226,"url":"https://alion.io/job/expedia-group-machine-learning-scientist-iii-vrbo-pricing","title":"Machine Learning Scientist III - VRBO Pricing","company":{"id":1763687,"name":"Expedia Group","domain":"expediagroup.com","url":"https://alion.io/company/expediagroup-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":34,"ghost_share":0,"stale_share":0.029,"repost_share":0.059,"time_to_fill_p50_days":19,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":137500,"max":192500,"currency":"USD","period":"year","gross":null,"usd_annual":192500},"salary_estimate":null,"experience_years_min":20,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-12T18:59:09Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T02:54:06Z","board_verified":false,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":11},"description":"At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.\nHere, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.\nTravel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif and others), it’s our mission to power global travel for everyone, everywhere, because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world’s largest travel platforms. With unrivaled knowledge of the industry and advanced tech innovation, we built a marketplace that allows us to filter through millions of different possibilities, for travelers and partners worldwide.\nTravel platform pricing and monetization has critical impacts on the business health. The Machine Learning Science team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi-billion dollar revenue.\nAs a Machine Learning Scientist III, you will research and build this pricing system. You will work on end-to-end pricing problems. You will collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. You will contribute to an area of active scientific research: causal inference using machine learning methods, operations research and optimization, ML-based demand estimation, experiment design with spillovers. And this is an applied research role - your models will be deployed to our production systems, and your results will be measured objectively through AB testing.\nIn this role you will:\nApply solid scientific skills, strong analytical and innovative thinking to quickly learn new domains and turn innovative ideas into working solutions\n\nArticulate technical solutions and plans to stakeholders based on detailed understanding of business requirements.\n\nResearch and implement scalable machine learning and data science solutions end to end with engineering rigor.\n\nFollow the latest technology and research and be able to customize them to our problem space.\n\nDesign success metrics for both short-term and long-term performance.\n\nGuide solutions using data insights based on deep understanding of business domains.\n\nCollaborate with other machine learning and data science teams to build a great data science culture in Expedia Group.\n\nExperience & Qualifications:\n3+ years industry experience and an advanced degree (PhD preferred) in a quantitative field, such as Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields.\n\nExpert in one or multiple areas of machine learning, causal inference, and operations research.\n\nComfortable to analyze complicated data sets to generate insights to guide effective solution development.\n\nPassion for solving exciting and meaningful real-world problems using principled techniques and practices.\n\nFocus on problem solving with pragmatical methods.\n\nUnderstanding of modern machine learning and data science techniques and their mathematical underpinning.\n\nAbility to communicate clearly and effectively to cross functional partners of varying technical levels.\n\nCollaborates well in a team and sensitive to clients' needs, while developing warm relationships and building trust with stakeholders\n\nProficiency in one of the tools such as Python, Scala, etc\n\nProficiency with big data ecosystem (Hadoop/Spark)\n\nExperience in pricing is a plus.\n\nExperience with large scale marketplace experiment design and analysis is a plus.\n\nThe total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.\nStarting 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.\nBenefits and perks\nExpedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.\nAccommodation requests\nExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request athttps://expedia.service-now.com/askeg?id=job_accommodation.\nAbout Expedia Group\nExpedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.\nImportant notice\nEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.\nEqual Opportunity\nExpedia 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, 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. 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