Data Scientist II, Applied ML

📋 Description

• Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or
• Be responsible for the full machine learning lifecycle — problem identification, model design
• Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).

🎯 Requirements

• 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field
• Demonstrated ability to own end-to-end model development, including productionization
• Expertise in Python programming, SQL queries, and ML-related frameworks
• Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach
• Strong software engineering fundamentals, including experience with API development and integrating
• Strong communication skills and the ability to collaborate with various stakeholders, both

🎁 Benefits

• Equity
• None explicitly mentioned in job description (standard company benefits assumed)