Description
Dun & Bradstreet is hiring a Data Scientist, Commercial Analytics to build and deploy machine learning, predictive, statistical, and experimental analytics for commercial growth, customer retention, sales effectiveness, territory planning, and revenue optimization. The role partners with senior leaders across Sales, Customer Success, Marketing, Finance, Strategy, and RevOps; develops scalable data pipelines and analytical datasets; and presents insights to executive stakeholders. It requires a bachelor’s degree in a quantitative field, at least 8 years of relevant experience including 4 years in a senior or scientist capacity, strong Python or R and SQL skills, and experience with cloud analytics platforms and visualization tools.
