Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are looking for a Data Scientist - Antifraud, Fintech to join the Fintech Data Team on our journey to always deliver amazing experiences.

Our team creates innovative fraud prevention products across multiple markets, catering to the diverse needs of consumers, vendors, and riders on our platform. We design solutions that enhance our customers' experiences, ensuring that our lending portfolio provides value and support.

If you're a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Build and improve DS solutions, analytics tools, automation pipelines, and decision-making platforms using advanced ML techniques
Collaborate with engineering, product, ops and analytics teams to enhance systems
Analyze transaction data to detect anomalies and trends
Develop real-time and batch fraud detection algorithms
Own the full model lifecycle: from data sourcing and analysis to model training, deployment, monitoring, and explainability
Scale solutions to support over 70 countries

Qualifications

3+ years of experience with SQL, Python, Jira, and Git
Skilled in pandas, scikit-learn, numpy, and matplotlib
DS/ML background focused on structured data (classification, regression, clustering) with experience deploying real-time models
Clear communicator who explains complex topics simply, using storytelling
Fluent in English; collaborative and curious team player
Business-oriented: translates needs into solutions, challenges assumptions with a critical eye on data and decisions

Nice to have:

Experience with big data tools such as Spark and BigQuery
Experience with graph algorithms and network analysis
Background in fraud / risk detection
Skilled in handling imbalanced data and real-time data processing
Experience with developing NN-models in PyTorch
Experience with Docker, Airflow, Metaflow, MLFlow, Grafana

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

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 & Bicycle 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. Courses.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.