About the job
What you'll do
You will build and validate machine learning prototypes to support the development of a centralized transaction risk-scoring engine. You will collaborate with product and engineering teams to transform these prototypes into scalable, production-ready systems.
What they're looking for
The role requires 5+ years of experience in data science, specifically within fraud, security, or high-noise domains. Candidates must possess strong statistical skills and proficiency in Python, machine learning libraries, and data pipeline development.
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