Data Scientist - Antifraud
Data Scientist - Antifraud
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
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 youre 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 youre in good shape then were 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 well 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 youre excited to grow collaborate and be part of the worlds leading delivery platform wed 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 experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
