Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
Independently performs 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.
Produces compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
Takes accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
Engages 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 researches and advocates adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.
Exercises sound judgment and fosters 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.
Requirements
Must have a Bachelor’s degree in Data Science, Analytics, Statistics, MIS or related analytic field.
Must have 2 years of experience in data science or data analyst positions performing/utilizing the following:
Applying understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests.
Linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components.
Demonstrating working knowledge of calculus/differential equations, with understanding of stochastic processes.
Data cleansing and using preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.
Data extraction in a variety of environments, including SQL and JQuery.
Managing multiple projects with tight deadlines in a collaborative environment.
Developing SAS UNIX based applications based on functional specifications that will support Marketing operations
Automating applications and incorporate controls
Validating and testing all code for accuracy and efficiency
Assisting in development of the specification by recommending alternative solutions to technical problems
Providing programming support of ad-hoc requests and special projects as assigned
Position may be eligible to work remotely but is based out of and reports to Truist offices in Atlanta, GA. Must be available to travel to Atlanta, GA regularly for meetings and reviews with manager and project teams within 24-hours’ notice.