Senior Decision Scientist, Fraud

Change the way the world travels Join 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. Ready 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. Team mission In 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. The 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. Your mission Own 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. Build 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. Deliver 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. Be 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. Champion 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. Your toolkit 5+ years of relevant experience interpreting data in an analytics or a data science role Production-grade SQL and strong working knowledge of Python (e.g., notebooks, modeling, analysis workflows). Experience with experimentation (statistics, assumptions, and evaluation). Strong statistical background and proficiency with advanced statistical methods (e.g. causal inference methods, difference-in-differences, regression analysis, propensity score matching) Experience with data visualization and reporting tools (e.g., Looker, Jupyter Notebooks). Strong stakeholder management and the ability to operate with senior leaders in a high-context, ambiguous environment. Proven ability to turn messy questions into structured analysis, crisp narratives, and decisions with measurable business impact. Strong customer mindset: you understand user behavior and the “why” behind the numbers. Excellent communication skills — you can influence without authority and align teams around shared metrics and priorities. Extras that give you an edge Experience in fraud, trust and safety, risk, or marketplace abuse analytics, ideally within a marketplace or payments environment. Familiarity with ETL/orchestration tools (e.g., Airflow) and/or big data tooling (e.g., Spark, Hive). Experience working in cross-functional mission setups. Exposure to LLM APIs (Open