As a Principal Data Scientist on the Data & Analytics team, you will be involved in all aspects of modeling engagements. This includes design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products, and necessary data to support Dun & Bradstreet's growing initiatives. Key responsibilities involve developing global analytic solutions using statistical models, creating and validating features with diverse data sources, and applying machine learning techniques such as Natural Language Processing. You will also maintain stakeholder relationships, act as a subject matter expert, share best practices, and build relationships with external data vendors. The role requires a strategic mindset with an execution focus, a continuous growth mindset, and an ownership mentality.