{"id":4135395,"url":"https://alion.io/job/expedia-group-applied-scientist-iii-2","title":"Applied Scientist III","company":{"id":1763687,"name":"Expedia Group","domain":"expediagroup.com","url":"https://alion.io/company/expediagroup-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":32,"ghost_share":0,"stale_share":0,"repost_share":0.25,"time_to_fill_p50_days":22,"computed_at":"2026-11-11T05:49:22Z"}},"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":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":146000,"max":204500,"currency":"USD","period":"year","gross":null,"usd_annual":204500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T03:49:56Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nApplied Scientist III\nOur Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. \nEFR builds machine-learning and AI systems that help Expedia Group protect travelers, partners, and transactions from fraud-while reducing friction for legitimate activity. The EFR ML team works across the full lifecycle, from discovering useful signals and developing models to deploying, monitoring, and evaluating decision systems. Its work spans booking fraud, account protection, and supply risk, combining established machine-learning approaches with emerging LLM and agent capabilities to detect evolving patterns and support investigation. Working closely with product, engineering, and operations partners, the team turns complex, adversarial problems into measurable improvements in fraud prevention, customer experience, and analyst effectiveness. It’s an opportunity to take ideas from experimentation into production and make a meaningful impact at Expedia Group scale.\nIn this role, you will:\nDevelop, evaluate, and productionize applied science solutions that address complex business and customer problems across Expedia Group.\nTranslate ambiguous product and business needs into well-defined scientific approaches, measurable outcomes, and deployable solutions.\nApply advanced statistical modeling, machine learning, experimentation, and data analysis techniques to generate actionable insights and improve product outcomes.\nDesign rigorous experiments and evaluation frameworks, interpret results, and communicate recommendations to technical and non-technical stakeholders.\nPartner effectively across science, engineering, product, and business teams while contributing expertise across multiple domains and problem spaces.\nSafely integrate and operate AI/ML-enabled solutions that improve outcomes, while demonstrating familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products.\nMinimum Qualifications:\n\nMasters in a quantitative, technical, or related field and relevant professional experience applying advanced data science, statistics, machine learning, or scientific research methods.\nDemonstrated experience owning applied science work from problem definition through analysis, validation, and delivery, with scope spanning a product area, service, or related domain.\nStrong programming and technical modeling skills, including the ability to work with large and complex datasets and develop reliable, reproducible analytical solutions.\nExperience designing experiments, evaluating models or product interventions, and using data to make evidence-based decisions.\nAbility to communicate complex technical findings clearly and collaborate with cross-functional partners to influence product or business outcomes.\nPreferred Qualifications:\n\nPhD in a quantitative, technical, or related discipline, or equivalent depth of applied research and industry experience.\nExperience developing and operating machine learning or statistical solutions at scale, including attention to model performance, reliability, monitoring, and iterative improvement.\nDemonstrated ability to provide technical leadership for applied science initiatives within a product area or scientific domain and to influence architecture or solution direction.\nExperience applying causal inference, experimentation, optimization, forecasting, recommender systems, or other advanced analytical methods to complex real-world problems.\nExperience using AI-driven tools and workflows to accelerate scientific discovery, improve model development, or enhance the delivery of production AI/ML solutions.\nThe total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00, 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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