Perform sophisticated data analytics to provide actionable insights that improve business outcomes and minimize risk
Consult with business leaders on leveraging analytics insights
Independently perform sophisticated data analytics in various environments using structured and unstructured data
Produce compelling data visualizations
Take accountability and ownership of data science solution design, technical delivery, and measurable business outcome
Engage in stakeholder meetings to identify business objectives and scope solution requirements
Write, document, and deploy custom code in various environments (Python, SAS, R)
Use and maintain Truist internal code repositories
Research and advocate adoption of emerging methods and technologies in data science
Foster risk management culture throughout design, development, and deployment practices

Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
Familiarity with linear algebra concepts for optimization
Working knowledge of calculus/differential equations, with understanding of stochastic processes
Strong familiarity with data extraction in environments (SQL, JQuery, etc.)
Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
Experience in managing multiple projects with tight deadlines in a collaborative environment

Medical, dental, vision, life insurance, disability, accidental death and dismemberment
Tax-preferred savings accounts
401k plan
No less than 10 days of vacation in first year
10 sick days
Paid holidays
Specific benefits may vary based on position and division

Data Scientist II

Key skills