Senior Data Scientist - (Fintech, Antifraud) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Deep Learning, PyTorch, Python, Git, ML Pipelines, Real-Time Data, Production Deployment, Graph Neural Networks, A/B Testing, Big Data, Spark, BigQuery, Fraud Detection, Risk Detection

Industry

technology;Information and Internet

Description

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 on the lookout for a Senior Antifraud Data Scientist 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. In this role you will, Build and deploy ML solutions across both classical ML (LightGBM, scikit-learn) and deep learning (PyTorch, GNNs, Autoencoders) stacks. Analyze large-scale transaction data to detect anomalies and trends. Own the full ML lifecycle: from data sourcing to deployment, monitoring, explainability and A/B-testing. Partner with product, engineering, and ops to scale solutions across 70+ countries. Mentor teammates and drive adoption of deep learning best practices. Qualifications Data Science / ML background with expertise in Deep Learning. Expert in PyTorch (model design, optimization, deployment). Strong coding skills in Python, Git, and ML pipelines. Experience with real-time data and production deployment. Clear communicator, business-minded, and collaborative. Nice to have: Hands-on with Graph Neural Networks. Experience with A/B testing. Experience with big data tools such as Spark and BigQuery. Background in fraud / risk detection. Experience handling imbalanced datasets and designing robust evaluation strategies. 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 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 Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, 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 Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support 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, Online Canteen, Corporate Discounts 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.

Responsibilities

The Senior Antifraud Data Scientist will build and deploy machine learning solutions to prevent fraud across multiple markets. This role involves analyzing large-scale transaction data and owning the full machine learning lifecycle from data sourcing to deployment.