Analyst II, Data Science

📋 Description Develop B2B risk solutions, including standard and custom offerings for Fortune 500 clients. Collaborate with D&B clients and stakeholders; participate in all modeling lifecycle steps. Use LLMs and prompt engineering to analyze large B2B data for risk and compliance. Design, develop and test new risk signals from structured and unstructured data. Develop AI agents using ML and NLP to detect real-time risk triggers and anomalies. Handle multiple assignments with tight deadlines, working independently or in a team. 🎯 Requirements Master’s degree in quantitative field (Math/Stats, Econ, CS, Finance, OR) with 2–5 years DS exp. Experience in developing risk models is desirable. ML models with XGBoost, LightGBM, Random Forest, Logistic Regression, Neural Networks. Strong Python and PySpark programming for data manipulation and statistics. Strong SQL skills and experience with large datasets. Ability to explain complex ideas to both technical and non-technical audiences.