GetYourGuide — the world’s leading travel experiences marketplace, trusted by millions of travelers globally and powering unforgettable activities in destinations from New York to Bangkok — is hiring a Senior Decision Scientist at its Berlin HQ to serve as the analytical backbone of its Marketplace Integrity team. This is a high-impact, deeply cross-functional analytics role: you will own the measurement frameworks, deep-dive models, and strategic analytics backlog that protect GetYourGuide from payment fraud, identity risk, platform abuse, and policy exploitation — ensuring that travelers, suppliers, and partners can trust every single transaction and interaction on the platform. Working across Traveler, Supplier, Partner, and Care Operations domains, you will bring production-grade SQL, Python, causal inference, and statistical modeling to decisions that shape detection rules, prevention policies, and multi-million-euro investment cases — and translate complex fraud and abuse patterns into insights that Product, Payments, Finance, Supply, and Care can act on immediately. If you want your data science work to protect real people, influence real decisions, and make one of the world’s most exciting travel platforms genuinely safer and more trustworthy — this is the role.
About This Senior Decision Scientist Role — GetYourGuide Berlin Germany
Employer: GetYourGuide — a Berlin-headquartered global travel experiences marketplace that connects millions of travelers with unique, bookable activities and experiences in destinations worldwide, operating at the intersection of consumer technology, marketplace economics, and travel hospitality — one of Europe’s most recognised and rapidly growing consumer tech platforms, with offices in Berlin, New York, Bangkok, and beyond
Team Mission: 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 — covering two analytically distinct but interconnected domains: fraud (payment and identity risk) and abuse (any behavior that exploits platform policies or mechanisms), both inherently cross-domain and spanning all core stakeholder groups
Analytics Scope: Two-sided Marketplace Integrity analytics — fraud detection measurement, abuse pattern quantification, prevention outcome tracking, false positive and friction cost modeling, and business case sizing for detection, prevention, and policy investment decisions across one of the world’s largest and most complex travel marketplace environments
Impact: The analytical decisions made in this role directly shape the fraud detection rules, abuse prevention policies, payment risk systems, and platform integrity investments that determine how safe, trustworthy, and economically healthy GetYourGuide’s marketplace is for millions of travelers, thousands of suppliers, and a global network of distribution partners
Why This Senior Decision Scientist Role at GetYourGuide Stands Out
Own the Analytical Problems That Matter Most — Genuine Decision Authority: This is not an analytics support role that generates reports for others to act on. As the embedded analytical partner to Marketplace Integrity leadership, you will define and drive the strategic fraud and abuse analytics backlog — setting the analytical agenda, not just responding to it — and turn your work directly into recommendations that shape detection rules, policies, and investment decisions at the highest levels of the organization.
World-Class Statistical Depth — Causal Inference, DiD, PSM in Production: GetYourGuide operates at genuine scale — the kind of environment where causal inference methods, difference-in-differences analysis, regression discontinuity, and propensity score matching are not academic exercises but practical production tools for quantifying the real-world impact of fraud interventions, policy changes, and prevention measures. The statistical rigor expected and supported here is genuinely rare in the industry.
Cross-Domain Influence — Product, Payments, Finance, Supply, Care: Marketplace Integrity is inherently cross-functional at GetYourGuide — spanning Traveler, Supplier, Partner, and Care Operations domains simultaneously. As the analytical voice of this team, you will translate fraud and abuse patterns into insights that multiple senior stakeholder groups can act on, and size business cases that influence company-level investment decisions. The influence surface of this role is unusually broad for a data science position.
LLM API Exposure + Cutting-Edge Tooling — Airflow, Spark, Hive: GetYourGuide explicitly values and supports exposure to LLM APIs (OpenAI, Gemini, Anthropic) for operational tooling and workflow augmentation — making this one of a rare category of analytics roles that actively bridges classical statistical rigor with the latest generative AI tooling in a production fraud and trust context. Familiarity with ETL/orchestration tools like Airflow and big data tooling like Spark and Hive further extends the technical sophistication of the environment.
Position Overview
This Senior Decision Scientist at GetYourGuide serves as the key analytical partner to Marketplace Integrity — working closely with Marketplace Integrity leadership, Product, Finance, and the broader Analytics organization — owns the strategic fraud and abuse analytics backlog and turns it into recommendations that shape detection rules, policies, and platform investments — builds and evolves the measurement frameworks, metrics, models, and dashboards that make loss, false positives, friction for legitimate users, and prevention outcomes measurable and self-serve — delivers deep-dive causal models and trade-off analyses that quantify fraud losses, abuse patterns, and the cost of false positives — serves as the analytical voice of Marketplace Integrity across the company — and champions hypothesis-driven, rigorously evaluated, outcome-measured decision-making across every rule change, policy shift, and tooling investment the team makes.
Why This Role Matters: Every time a traveler books an experience on GetYourGuide — whether it is a gondola ride in Venice, a cooking class in Tokyo, or a guided tour through Berlin’s history — they are placing trust in a marketplace that promises their payment will be processed safely, their booking will be honored, their personal data will be protected, and the suppliers they encounter will be genuinely vetted and accountable. Behind that promise sits a complex, constantly-evolving Marketplace Integrity function: fraud detection models that identify payment risk before a transaction clears, abuse detection systems that flag policy exploitation before it damages suppliers or partners, false positive management processes that ensure legitimate travelers are not blocked by over-aggressive detection, and analytical frameworks that allow leadership to make rational, evidence-based investment decisions about where to spend prevention resources and where to absorb fraud losses. The Senior Decision Scientist who owns the analytics for this function is not maintaining a back-office reporting dashboard. They are building the measurement infrastructure that allows GetYourGuide to answer the questions that most directly determine the health, fairness, and sustainability of its marketplace: How much are we losing to payment fraud this quarter, and why? Are our new detection rules reducing fraud, or are they blocking legitimate travelers? What is the true cost of our current false positive rate in terms of lost bookings and supplier trust? Which abuse patterns represent existential risks to platform economics, and which can be absorbed within acceptable loss tolerances? Where does the ROI on additional prevention investment exceed the ROI on fraud recovery? The answers to these questions — your answers, grounded in rigorous causal analysis and clear statistical communication — will directly determine how hundreds of millions of euros are protected, allocated, and invested across one of the world’s most exciting travel technology platforms. That is the professional weight and organizational significance of excellent decision science at the intersection of fraud, trust, and marketplace integrity.
Key Responsibilities
Strategic Analytics Ownership — Fraud & Abuse Backlog, Measurement Frameworks, Metrics
- Own the analytical problems that matter most for Marketplace Integrity — define and drive the strategic fraud and abuse analytics backlog, prioritizing the measurement questions, modeling challenges, and analytical investigations that most directly shape detection rules, prevention policies, and platform investment decisions — and translate that backlog into clear, actionable recommendations that Marketplace Integrity leadership, Product, and Finance can implement with confidence, supported by the rigorous analytical evidence that high-stakes decisions at a global travel marketplace require
- Build and continuously evolve the measurement frameworks that Marketplace Integrity relies on — creating and maintaining the metrics, models, and self-serve dashboards (Looker, Jupyter Notebooks) that make fraud loss, false positive rates, friction imposed on legitimate users, and prevention outcome changes measurable, visible, and accessible to the full range of stakeholders who need to monitor and act on Marketplace Integrity performance data without depending on the analytics team for every query
- Serve as the analytical voice of Marketplace Integrity across the company — translating complex fraud and abuse patterns into insights that Product, Payments, Finance, Supply, and Care can understand and act on — sizing the business cases for prevention versus recovery investments, communicating trade-offs between fraud loss reduction and legitimate user friction at the senior leadership level, and ensuring that the analytical perspective of Marketplace Integrity is clearly represented in every major platform decision that touches fraud, abuse, payments, or trust
Deep-Dive Causal Modeling — Fraud Losses, Abuse Patterns, Prevention Trade-offs
- Deliver deep-dive statistical modeling and causal analysis that unlocks step-change decisions for Marketplace Integrity — applying advanced methods including causal inference, difference-in-differences analysis, regression discontinuity design, propensity score matching, and regression modeling to quantify the true drivers of fraud losses, the behavioral patterns behind platform abuse, the causal impact of detection rule changes, and the genuine cost of false positives in terms of blocked legitimate travelers, suppressed supplier revenue, and eroded partner trust
- Quantify the trade-offs behind fraud prevention measures with the analytical precision that investment decisions require — building models that correctly attribute fraud loss reduction to specific interventions rather than confounding factors, that accurately estimate the legitimate user friction imposed by detection tightening, and that provide leadership with the evidence base needed to make rational, defensible decisions about where to invest in prevention technology, where to absorb fraud losses within acceptable risk tolerance, and where recovery rather than prevention is the economically optimal response
- Champion hypothesis-driven decision-making across the Marketplace Integrity function — raising the bar on analytical rigor, experimental design, evaluation methodology, and impact measurement so that every detection rule change, policy shift, and tooling investment is grounded in a clearly stated hypothesis, evaluated against pre-specified success metrics, and assessed for genuine causal impact rather than correlation — building a culture in which data-driven decisions are genuinely defensible, outcome-focused, and continuously improving
Stakeholder Management, Experimentation & Cross-Functional Collaboration
- Work with genuine effectiveness in a high-context, ambiguous, senior stakeholder environment — operating as the analytical partner to Marketplace Integrity leadership while maintaining anchoring in the broader Analytics organization to uphold methodological standards, participate in peer review, and ensure alignment with company-wide metrics and analytical conventions, in a role that requires both deep embedded subject matter expertise and the organizational credibility to influence decisions without formal authority
- Design and evaluate experiments that correctly assess the impact of Marketplace Integrity interventions — applying sound statistical thinking to experimental design, treatment and control group selection, power analysis, and post-experiment evaluation — ensuring that GetYourGuide’s fraud and abuse prevention decisions are grounded in properly evaluated evidence rather than post-hoc rationalization of results that could reflect confounding, selection bias, or measurement error
- Turn messy, ambiguous analytical questions into structured analyses, crisp narratives, and decisions with measurable business impact — demonstrating the rare analytical leadership quality of transforming genuinely complex problems (what is driving our fraud loss increase this quarter? are our new detection rules actually working? what is the right false positive rate for our current business stage?) into clear, actionable outputs that non-technical stakeholders can understand, trust, and act on with confidence
Qualifications
Essential Requirements (5+ Years)
- 5+ years of relevant experience interpreting data in an analytics or data science role — with a demonstrated track record of turning complex, ambiguous data problems into structured analyses, clear narratives, and decisions with measurable business impact in a fast-moving, data-rich environment where the quality of analytical outputs directly affects major business decisions
- Production-grade SQL and strong working knowledge of Python — including notebooks, statistical modeling, and analysis workflows — the foundational technical toolkit for all quantitative analytical work in GetYourGuide’s data environment, used daily for everything from exploratory data analysis and metric construction to complex causal modeling and dashboard data preparation
- Solid experience with experimentation — sound understanding of statistical assumptions, experimental design, power analysis, treatment effect estimation, and post-experiment evaluation — the experimental rigor foundation that Marketplace Integrity’s fraud and abuse prevention decision-making requires
- Strong statistical background and proficiency with advanced statistical methods — causal inference, difference-in-differences, regression analysis, and propensity score matching — applied not as theoretical concepts but as practical production tools for answering genuine causal questions in a complex, multi-sided marketplace environment
- Experience with data visualization and reporting tools — particularly Looker and Jupyter Notebooks — for building self-serve dashboards and communicating analytical findings to both technical and non-technical stakeholders across product, finance, and operations functions
- Strong stakeholder management and the ability to operate effectively with senior leaders in high-context, ambiguous environments — influencing without authority, aligning cross-functional teams around shared metrics and priorities, and maintaining both scientific rigor and practical business relevance in the analytical guidance you provide
- Strong customer mindset — a genuine understanding of user behavior and the “why” behind the numbers that allows you to go beyond metric movements to the real human decisions and incentives that drive fraud, abuse, and legitimate platform behavior
Advantageous
- Direct experience in fraud, trust and safety, risk, or marketplace abuse analytics — ideally within a marketplace or payments environment — bringing the domain-specific intuition, data pattern recognition, and stakeholder communication experience that makes the ramp-up period shorter and the analytical contribution immediate
- Familiarity with ETL/orchestration tools (Airflow) and/or big data tooling (Spark, Hive) for working at the scale of a global travel marketplace’s transaction and behavioral data infrastructure
- Exposure to LLM APIs (OpenAI, Gemini, Anthropic) — especially for operational tooling or workflow augmentation in an analytics or trust and safety context
Why Berlin — Europe’s Analytics & Tech Capital
Berlin is Germany’s undisputed technology and data science capital — home to one of Europe’s most vibrant and internationally diverse tech talent ecosystems, a city where world-class analytical talent from across Europe and beyond concentrates in a uniquely energetic, creative, and culturally rich urban environment. GetYourGuide’s Berlin HQ sits at the heart of this ecosystem — a company that combines the product ambition and analytical sophistication of a global consumer technology leader with the human scale and genuine team culture of a company that still knows every employee’s name and professional journey. For data scientists and decision scientists who want to do technically demanding, statistically rigorous, and genuinely impactful work in an environment that values both analytical excellence and human wellbeing — in a city that offers world-class culture, an international community, and a quality of life that makes it one of Europe’s most sought-after locations for ambitious analytical professionals — GetYourGuide’s Senior Decision Scientist role in Berlin in 2026 represents one of the most compelling analytical career opportunities available in the European tech market.
Career Excellence: SQL, Python, Causal Inference, Difference-in-Differences, Propensity Score Matching, Fraud Analytics, Marketplace Abuse Detection, Looker, PHPUnit, LLM APIs, Airflow, Spark, Cross-Functional Analytics Leadership — Senior Decision Scientist, GetYourGuide Marketplace Integrity, Berlin HQ, Germany 2026.
Who Should Apply?
- Senior Data Scientists — Fraud & Trust Analytics, Global Platforms Germany: With 5+ years of analytics or data science experience and hands-on expertise in fraud detection, marketplace integrity, or trust and safety analytics — ready to join GetYourGuide’s Berlin HQ as the embedded analytical partner to Marketplace Integrity leadership on a platform that serves millions of travelers worldwide
- Causal Inference & Experimentation Specialists — Berlin Germany 2026: With strong backgrounds in causal inference methods, difference-in-differences, propensity score matching, and production-grade SQL and Python — seeking a Senior Decision Scientist role at a global tech company where statistical rigor genuinely matters and advanced quantitative methods are applied to decisions with real platform-scale impact
- Analytics Team Leads — Marketplace & Payments Data Science Berlin: With experience operating as a senior analytical voice in cross-functional product, payments, or marketplace environments — ready to own the strategic analytics backlog for GetYourGuide’s Marketplace Integrity team and influence fraud prevention policy, detection investment, and abuse management decisions at the highest organizational level
- Trust & Safety Data Scientists — Travel Tech Germany 2026: With domain-specific expertise in fraud analytics, payment risk modeling, platform abuse detection, or marketplace trust and safety — seeking a Senior Decision Scientist position at a globally recognised Berlin-headquartered travel platform where the analytical work has both technical depth and genuine human meaning
- Decision Scientists — Python SQL Statistical Modeling Berlin: Seeking a Senior Decision Scientist role in Berlin at GetYourGuide — where production-grade SQL, Python, causal inference, Looker, experimentation rigor, LLM API exposure, and cross-functional stakeholder analytics combine in a professionally challenging, technically sophisticated, and personally meaningful fraud and marketplace integrity analytics career at the world’s leading travel experiences platform
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