Data Scientist

• Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products.
• Continuously proposing and developing new features to improve the AI/ML model performance.
• Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle.
• Debugging ML production issues and ensuring stable model serving.
• Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.

Staff Data Scientist – Machine Learning, Credit

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