Principal, Data Scientist

Key Responsibilities:

• Develop Global Analytic Solutions inclusive but not limited to statistical models based on D&B’s established best practices, methodologies, and tools.
• Research complex business issues and recommend solutions, including model features and end products.
• Create features and validate them against diverse set of objectives utilizing both internal and external data sources while maintaining business relationships and serving as subject matter expert.
• Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing in automating and scaling internal business processes and development of new capabilities for the business.
• Establish and maintain strong relationships with key internal and external stakeholders.
• Serve as a Subject Matter Expert on predictive models within the Advanced Analytic Services team and with business users; consult with the business, as appropriate, on predictive modeling solutions.
• Share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business case, and go to market strategy.
• Build relationships with external data vendors and aggregators to support analytical initiatives and products, building and testing Proof of Concept algorithms that meet business needs.
• Search for new alternative data based on the use cases - customer problems by business units, data quality and additional product needs.