{"id":2840251,"url":"https://alion.io/job/expedia-group-data-scientist-iii-analytics","title":"Data Scientist III, Analytics","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":20,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-20T05:45:00Z"}},"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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-19T08:43:57Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-21T00:42:48Z","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.\nData Scientist III, Analytics\n\nAs a Data Scientist III, Analytics, you will independently lead analytical work that shapes decisions, improves performance, and scales better customer and business outcomes. You will combine technical expertise with business judgment to frame complex problems, develop robust analyses, and communicate clear recommendations to technical and non-technical audiences.\nIntroduction to the Team\n\nThe 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.\nThis role sits within our analytics organization and supports post-booking servicing experiences. You will use data, experimentation, and analytical thinking to improve traveler outcomes, inform product decisions, and deliver measurable business impact in partnership with product, analytics, and leadership stakeholders.\nIn this role, you will:\nLead analytical projects or small work-streams from problem definition through recommendation, delivering insights that influence product and business decisions\nExtract, combine, and transform data from multiple sources to build reliable datasets for analysis, experimentation, and modeling\nApply statistical methods, including regression, analysis of variance, hypothesis testing, and experiment design, to evaluate impact and solve business problems\nUse Structured Query Language (SQL), Python, R, or similar tools to analyze large datasets, develop scalable analytical approaches, and create clear visualisations\nPartner with subject matter experts and stakeholders to refine business questions, define success measures, and translate findings into practical recommendations\nDocument analytical work, share reproducible code, and provide guidance and feedback that helps strengthen the analytics community\nExperience and Qualifications:\nYou have a bachelor's degree, master's degree, or doctorate in mathematics, statistics, computer science, economics, engineering, or related technical field; or Equivalent related professional experience\nYou have 5+ years of experience in a data analytics or data science role, delivering insights and recommendations that drove measurable change or performance improvement across multiple projects\nYou have advanced experience using SQL, Python, R, or similar tools for data analysis, data structuring, transformation, and visualisation\nYou have experience selecting measurement approaches for different business questions, including before-and-after analysis, causal inference, multivariate testing, or adaptive experimentation\nYou have a strong grounding in statistical concepts and can apply experimentation, regression, and exploratory analysis to business questions\nYou communicate analytical findings clearly to stakeholders with different levels of technical expertise and translate data into actionable recommendations\nYou are comfortable working independently, managing priorities, and collaborating across functions to move analytical work forward\nYou have experience working with large, complex datasets and understand challenges related to data quality, performance, and scalability\nYou have working knowledge of machine learning concepts, including supervised learning methods such as linear regression, logistic regression, and clustering\nYou create effective visualisations that prioritise clarity, accessibility, and audience needs\nYou value iterative delivery, reproducibility, and knowledge sharing through documentation, dashboards, and reusable analytical workflows\nYou have experience mentoring teammates, providing thoughtful feedback, and helping build analytical capability across a team\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. 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