Data Scientist II

Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business Develop scalable data, analytics, visualization, automation, and AI capabilities that enable self-service insights and enhance audit delivery and operations. Gather and translate business and data requirements into trusted data products, dashboards, automated reporting, advanced analytics, machine learning, and AI-enabled solutions that identify risk, improve efficiency, and support better decision-making. Partner with audit leaders and technology teams to establish sustainable standards and solutions for data quality, accessibility, governance, and reuse, while providing analytical leadership, consultation, and mentorship that expands data literacy and adoption across Truist Audit Services., Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. 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.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, SQL, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.
8. 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.

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. 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
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment, 1. Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
8. Four years of relevant work experience if candidate lacks graduate degree
9. Previous experience in the banking or fin-tech industry, with specific experience in Internal Audit Services
10. Experience with the Microsoft Power Platform including Power BI, Power Automate, Copilot, and Fabric
11. Experience with data visualization tools such as Tableau, Domo, Qlik, and/or Power BI
12. Experience building semantic models and knowledge graphs to enable AI and Agents on structured and unstructured data
13. Experience with automation tools such as Power Automate, Alteryx, UI Path
14. Familiar with Process understanding and Optimization, Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.

Manual Dexterity / Keyboarding

Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.

Availability

Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.

Travel

Minimal and up to 10%