{"id":4198308,"url":"https://alion.io/job/expedia-group-data-scientist-ii-advertising-analytics","title":"Data Scientist II - Advertising Analytics","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":95,"open_postings":37,"ghost_share":0.027,"stale_share":0,"repost_share":0.243,"time_to_fill_p50_days":22,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","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":["Washington, United States","London, United Kingdom"],"countries":["US","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":112000,"max":156500,"currency":"USD","period":"year","gross":null,"usd_annual":156500},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"bandit","optional":true},{"name":"Machine Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-12T21:13:07Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T21:13:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nData Scientist II - Advertising Analytics\nAt Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you’ll love being part of Expedia Group Advertising's Yield & Analytics (Y&A) team.\nWe’re looking for an exceptional Data Scientist II - Advertising Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you’ll collaborate closely with product partners to optimize and launch best-in-class onsite advertising solution.\nThis is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do.\nIn this role, you will:\nCollaborate with product teams to harness data from diverse sources-uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement.\nDesign and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development.\nDefine, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers.\nDeliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions.\nSupport product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs.\nExperience & Qualifications:\nBachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field.\n2+ years of analytics experience with a focus on product analytics and measurements.\nTechnical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets.\nCross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies.\nProblem-Solving & General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships.\nPreferred Qualifications:\nAdvanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance.\nEconomic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial.\nMultivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods.\nMachine Learning Models: Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning\nThe total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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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