Job Description
We are on the lookout for aSenior 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,
1. Build and deploy ML solutions across both classical ML (LightGBM, scikit-learn) and deep learning (PyTorch, GNNs, Autoencoders) stacks.
2. Analyze large-scale transaction data to detect anomalies and trends.
3. Own the full ML lifecycle: from data sourcing to deployment, monitoring, explainability and A/B-testing.
4. Partner with product, engineering, and ops to scale solutions across 70+ countries.
5. Mentor teammates and drive adoption of deep learning best practices.
Qualifications
6. Data Science / ML background with expertise in Deep Learning.
7. Expert in PyTorch (model design, optimization, deployment).
8. Strong coding skills in Python, Git, and ML pipelines.
9. Experience with real-time data and production deployment.
10. Clear communicator, business-minded, and collaborative.
Nice to have:
11. Hands-on with Graph Neural Networks.
12. Experience with A/B testing.
13. Experience with big data tools such as Spark and BigQuery.
14. Background in fraud / risk detection.
15. Experience handling imbalanced datasets and designing robust evaluation strategies.