Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop fraud detection and credit models, oversee their implementation in real-time systems, and make informed decisions based on statistical analysis.
Job Technologies
Your role in the 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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), modeling, 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.
- Unabhängigkeit und Geschwindigkeit. Du wählst den Ansatz, reduzierst den Umfang und lieferst ab, dann erklärst warum.
- 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.
- Echtzeit- oder Streaming-Entscheidungssysteme.
- Building and deploying deep learning models in production.
- Building LLM- or agent-based solutions in production.
Experience
- Nice to have: Experience in fraud, credit risk, payments, or fintech.
This text has been machine translated. Show original
What we offer
- 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 of holiday with an extra day in the 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.
This text has been machine translated. Show original
Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Delivery Hero SE
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
Description
- Founding Year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Career Growth
3.2Culture
3.2Engineering
2.7Workingconditions
3.8
Senior Data Scientist
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
