Data Scientist II, Applied ML

Tech Stack

Responsibilities

• Drive Data & AI solutions from inception to deployment to efficiently manage risk and improve customer experience.
• Own the full machine learning lifecycle, including problem identification, model design, training, productionization, and monitoring.
• Partner with cross-functional teams such as Operations, Engineering, Product, Fraud, Compliance, and Credit.
• Integrate ML systems into production services and collaborate with stakeholders to drive business impact.

Benefits

• Equity

Culture

Requirements