{"id":2549587,"url":"https://alion.io/job/getyourguide-senior-decision-scientist-fraud","title":"Senior Decision Scientist, Fraud","company":{"id":52407,"name":"GetYourGuide","domain":"getyourguide.careers","url":"https://alion.io/company/get-your-guide","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":17,"ghost_share":0.059,"stale_share":0.176,"repost_share":0.118,"time_to_fill_p50_days":87,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Finance","role_family":"Finance","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":130000,"period":"year","method":"role_seniority_country_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T14:50:35Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-24T13:24:20Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Change the way the world travels\nJoin the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. \nReady to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.\nTeam mission\nIn this analytics role, you will be the key analytical partner to Marketplace Integrity, the team that protects GetYourGuide from fraud and abuse so that travelers, suppliers, and partners can trust every transaction and interaction on the platform. You will work closely with Marketplace Integrity leadership, Product, Finance, and the broader Analytics organization to ensure that the team’s biggest decisions on detection, prevention, and policy are grounded in rigorous measurement and clear trade-offs.\nThe scope is two-sided: fraud, meaning payment and identity risk, and abuse, meaning any other behavior that exploits the platform or its policies. Both are inherently cross-domain, spanning Traveler, Supplier, Partner, and Care Operations. You’ll be embedded enough to build context and influence, while staying anchored in Analytics to uphold standards, peer review, and alignment with company-wide metrics.\nYour mission\nOwn the analytical problems that matter most for Marketplace Integrity: define and drive the strategic fraud and abuse analytics backlog and turn it into recommendations that shape detection rules, policies, and investments.\nBuild the measurement frameworks the team relies on: create and evolve metrics, models, and dashboards that make loss, false positives, friction for good users, and prevention outcomes measurable and self-serve.\nDeliver deep-dive modeling that unlocks step-change decisions: quantify the drivers and trade-offs behind fraud losses, abuse patterns, and prevention measures, including the cost of blocking legitimate travelers and suppliers.\nBe the analytical voice of Marketplace Integrity across the company: turn fraud and abuse patterns into insights Product, Payments, Finance, Supply, and Care can act on, and size the business case for prevention versus recovery.\nChampion hypothesis-driven decision-making: raise the bar on rigor, evaluation, and impact measurement so that every rule change, policy shift, and tooling investment is defensible and outcome-driven.\nYour toolkit\n5+ years of relevant experience interpreting data in an analytics or a data science role\nProduction-grade SQL and strong working knowledge of Python (e.g., notebooks, modeling, analysis workflows).\nExperience with experimentation (statistics, assumptions, and evaluation).\nStrong statistical background and proficiency with advanced statistical methods (e.g. causal inference methods, difference-in-differences, regression analysis, propensity score matching)\nExperience with data visualization and reporting tools (e.g., Looker, Jupyter Notebooks).\nStrong stakeholder management and the ability to operate with senior leaders in a high-context, ambiguous environment.\nProven ability to turn messy questions into structured analysis, crisp narratives, and decisions with measurable business impact.\nStrong customer mindset: you understand user behavior and the “why” behind the numbers.\nExcellent communication skills - you can influence without authority and align teams around shared metrics and priorities.\nExtras that give you an edge \nExperience in fraud, trust and safety, risk, or marketplace abuse analytics, ideally within a marketplace or payments environment.\nFamiliarity with ETL/orchestration tools (e.g., Airflow) and/or big data tooling (e.g., Spark, Hive).\nExperience working in cross-functional mission setups.\nExposure to LLM APIs (OpenAI, Gemini, Anthropic), especially for operational tooling or workflow augmentation.\nHow we’ll make your career journey extraordinary\nAnnual personal growth budget and mentorship programs for continuous learning and development\nWork from anywhere in the world for 30 days per year\nA hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.\nOpportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events\nMonthly transportation and fitness budget\nDiscounts for you, your friends, and family on GetYourGuide activities\nLanguage reimbursement program\nHealth and wellness benefits\nAnd more…\nHow to apply\nSubmit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire ’ and ‘life at GetYourGuide ’. If you have any further questions, please don’t hesitate to get in touch at .\nWe’re an equal opportunities employer\nOur commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. 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