Analyst II, Data Science (R-19664) at Dun & Bradstreet

📋 Description

• Implement, test, validate, document, monitor, and report analytics solutions.
• Extract, analyze, and validate large datasets from multiple sources (Python, PySpark, SQL, Hadoop).
• Perform model scoring, validation, impact analysis, investigations, and monitoring.
• Build automation solutions and AI-driven tools to improve efficiency.
• Use custom analytics frameworks for implementations, validations, monitoring, and reporting.
• Support MLOps/LLMOps for deployment, observability, validation, and governance.

🎯 Requirements

• 3 to 6 years of relevant experience in Data Analytics / Data Science.
• Strong programming in Python, PySpark, and SQL.
• Knowledge of LLM tools, GenAI concepts, and modern AI techniques.
• Solid knowledge of statistical and machine learning techniques.
• Familiarity with AI/ML model monitoring, observability, and GenAI applications.
• Excellent communication and presentation skills.