Data Scientist

• Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
• Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
• Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data
• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
• Engage in stakeholder meetings to identify business objectives and scope solution requirements
• Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications
• Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets
• Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities
• Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities

Data Scientist II

Data Manager

VP Lead Data Scientist – Global Payments & Liquidity