PayPal Data Scientist 

France, Auvergne-Rhône-Alpes 

883534150

What you need to know about the role-

Your day to day

Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets.

What do you need to bring-

• Strong proficiency in Python for data analysis, machine learning, and automation.

• Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures).

• Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions.

• Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.

• Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows.

• Ability to work cross-functionally with engineering, product, compliance, and operations teams.

• Proven track record of translating complex ML insights into business actions or policy decisions.

• BS/BA degree with 3+ years of related professional experience or master’s degree with 1+ years of related experience.

Our Benefits:

Any general requests for consideration of your skills, please