Senior Data Scientist
Greater NYC Area
2 weeks ago
Take ownership of our modeling efforts and how modeling happens at Alloy, including how we build, train, deploy and monitor models that help us distinguish 'good' applications from fraud.
Ensure that live production models are served with high uptime/reliability and extremely low latency (
Articulate a feature engineering strategy for extracting signal from varied inputs and partner with our data engineering team to build a reliable pipeline to generate, store and use new features in production.
Expand the range of outcomes that we model, expanding beyond basic two-category classification to more robust models that identify particular fraud modalities.
Deploy time-series models that score streams of transaction data and integrate with our onboarding models to provide a real-time view of risk.
Hire junior data scientists and build out the data science vertical inside the data team.