Jobs › Companies › GetYourGuide › Senior Decision Scientist, Fraud

À propos de ce poste Senior Decision Scientist, Fraud chez GetYourGuide

GetYourGuide · Sur site · Berlin

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 (OpenAI, Gemini, Anthropic), especially for operational tooling or workflow augmentation.

How we’ll make your career journey extraordinary

  • Annual personal growth budget and mentorship programs for continuous learning and development
  • Work from anywhere in the world for 30 days per year
  • A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
  • Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
  • Monthly transportation and fitness budget
  • Discounts for you, your friends, and family on GetYourGuide activities
  • Language reimbursement program
  • Health and wellness benefits

And more…

How to apply

Submit 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 [email protected].

We’re an equal opportunities employer

Our 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. Please refrain from including your picture and age with your application. 

 

#LI-Hybrid

 

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À propos de GetYourGuide

GetYourGuide is the leading global online marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover and book the best and most unique activities in any destination — including guided tours by local experts, culinary excursions, cooking and craft classes, skip-the-line tickets, as well as exclusive bucket-list experiences. Since its launch in 2009, travelers from over 150 countries have booked more than 80 millions tours, activities and attraction tickets through GetYourGuide. Powered by a global team of more than 700 travel and tech experts, the company is headquartered in Berlin, Germany, and has 17 local offices around the world.

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