Data Scientist
Apply AI and machine learning to payments and risk data. Develop fraud detection models and production systems. Work with Python and generative AI in a collaborative team.
Responsibilities
- Apply AI to payments and risk data, including developing skills, agents, evaluation frameworks, and cross-domain solutions
- Develop and maintain machine learning models for fraud detection and risk management
- Research and experiment with state-of-the-art AI and machine learning approaches
- Build and deploy reliable production systems at scale
- Monitor data pipeline performance and troubleshoot issues
- Lead engineering standards and collaborate with cross-functional teams
Requirements
- 4+ years of hands-on experience in Applied Data Science or 2+ years with strong software engineering background
- Experience with Generative AI, including context engineering, automatic evaluation, and agentic frameworks like LangChain or Google ADK
- Strong Python programming skills and experience with modern machine learning frameworks and tools
- Strong knowledge of AI fundamentals and related engineering principles
- Independent and quick learner
- Open-minded, capable of creative solutions, and adaptable
- Exceptional communication skills in English
Nice to have
- Experience with open-source LLMs fine-tuning