Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du Modelle zur Betrugsbekämpfung und zur Kreditvergabe, überwachst deren Implementierung in Echtzeitsystemen und triffst fundierte Entscheidungen basierend auf statistischen Analysen.
Job Technologien
Deine Rolle im Team
- Be part of building the financial backbone of Delivery Hero. You'll develop products that empower millions of customers and merchants, from seamless payments to innovative financial solutions like wallets and credit.
- Your work will support our path to profitability by creating financial flexibility for users and enabling smooth transactions across our markets.
- The Fintech Data Science team sits at the center of how Delivery Hero extends credit and protects the business from fraud losses, spanning underwriting, portfolio risk management, and fraud prevention across our products.
- We build the models and decision systems behind credit approval, limit management, and fraud detection, enabling the business to grow lending responsibly while keeping losses, chargebacks, and financial crime exposure under control.
- We're looking for a Senior Data Scientist who can own these problems end-to-end from framing an ambiguous risk question, through building and validating the model, to getting it live in a real-time decision engine and defending it in front of a risk committee.
- This role combines deep statistical and machine learning expertise with practical credit and fraud domain knowledge, and the judgment to operate under constraints a pure modeling exercise doesn't have.
- In this role you will,
- Own problems end to end, from an unclear business question through data, modelling, deployment, monitoring, and adoption.
- Build and ship models: fraud and anomaly detection, real-time transaction decisioning, acquisition scorecards, and behavioural limit management.
- Make decisions and explain them. Give Risk, Compliance, Finance, Payments, and leadership a clear recommendation they can act on.
- Work with Engineering closely on reliability, owning DS lifecycle including deployment.
- Build the data foundations: data marts and pipelines that produce features and training datasets.
- Drive experimentation towards model rollout and monitoring.
- Use AI tools to work faster, and review what they produce.
Unsere Erwartungen an dich
Qualifikationen
- A track record of owning models end to end, from an unclear business question through build, validation, deployment, and real use by the business.
- Full-stack breadth: SQL and data analysis (e.g. BigQuery), orchestration and scheduled feature and training-data pipelines (e.g. Airflow), modelling, deployment (e.g. Metaflow, Vertex AI), and production monitoring. Strong Python, testing, and CI/CD.
- Fluency with AI tooling. You build with coding agents and LLMs every day, automate your own routine work, and spend LLM budget sensibly: the right model for the task, tight context, no tokens burned on what a script should do. And you catch what the output gets wrong.
- Independence and speed. You pick the approach, cut the scope, and ship, then explain why.
- Judgment under ambiguity. You can make a defensible recommendation when trade-offs have no single right answer: false positives vs. fraud caught, loss vs. approval rate.
- Clear communication. You can explain modelling trade-offs to non-technical stakeholders and hold your position when challenged.
- Real-time or streaming decisioning systems.
- Building and deploying deep learning models in production.
- Building LLM- or agent-based solutions in production.
Erfahrung
- Nice to have: Experience in fraud, credit risk, payments, or fintech.
Unser Angebot
- Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
- We offer 27 days holiday with an extra day on 2nd and 3rd year of service.
- We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
- Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym Subsidy.
- Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
- The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts.
Benefits
Essen & Trinken
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Delivery Hero SE
Niklas Östberg gründete Delivery Hero im Mai 2011 und startete seine Reise, um ein führendes global agierendes Unternehmen im Bereich Online-Essensbestellungen aufzubauen. Sein Gründungsteam, das mit Mitgliedern von Team Europe vervollständigt wurde, teilte sich Jahrzehnte an Wissen über die Arbeit mit Internetunternehmen. Genauso wichtig war jedoch, dass sie eine Vision für die Zukunft der Online-Essensbestellung teilten. Gemeinsam mit einem ausgewählten und leidenschaftlichen Team gelang es ihnen tatsächlich, das Geschäft auf die heutige Stufe zu katapultieren.
Description
- Gründungsjahr
- 2011
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Handel
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)3.2
Career Growth
3.2Culture
3.2Engineering
2.7Workingconditions
3.8
Senior Data Scientist
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
