Data Scientist II — Advanced Analytics & Impact

Truist Financial; Charlotte (NC); On-site; USD 110,000 - 140,000; Full time

Job summary

Truist Financial Corporation seeks a data scientist on-site in Charlotte, NC, to perform advanced analytics using both classical econometrics and modern machine learning approaches. You will collaborate with business leaders to translate insights into actionable strategies, develop predictive analytics applications, and contribute to the bank's risk and performance initiatives.

The role requires strong coding in Python/SAS/R, data extraction across SQL and NoSQL environments, and a proactive

Qualifications

• Bachelor's degree in Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering or equivalent

Responsibilities

• Independently perform sophisticated data analytics from econometrics to ML in various environments using structured and unstructured data
• Produce compelling data visualizations to communicate insights to diverse stakeholders
• Own end-to-end data science solution design, technical delivery, and measurable business outcomes
• Engage in stakeholder meetings to identify objectives and scope requirements
• Write, document, and deploy code (Python, SAS, R, etc.) for predictive analytics applications
• Use and contribute to internal code repositories to promote learning and collaboration
• Research and advocate emerging data science methods to advance Truist capabilities
• Exercise sound judgment and foster risk management in design, development, and deployment; coordinate data governance and usage rules

Skills

Data analytics

Machine learning

Python

R

SAS

SQL

Data visualization

Stakeholder communication

Education

Bachelor's degree in quantitative field

Masters/PhD preferred

Tools

Hadoop

Pig

Hive

Spark

NoSQL

JQuery

Job description

Truist Financial Corporation seeks a data scientist on-site in Charlotte, NC, to perform advanced analytics using both classical econometrics and modern machine learning approaches. You will collaborate with business leaders to translate insights into actionable strategies, develop predictive analytics applications, and contribute to the bank's risk and performance initiatives.

The role requires strong coding in Python/SAS/R, data extraction across SQL and NoSQL environments, and a proactive