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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

The Data Scientist I supports the Enterprise Complaints Management team by providing data validation, analytics, and reporting insights to strengthen the Second Line of Defense (2LOD) oversight of the enterprise complaints program. This role partners closely with business leaders and other stakeholders and leverages enterprise complaint data, primarily from Salesforce, to ensure data accuracy, identify trends, and independently assess risk indicators related to customer complaints.

The Data Scientist I applies foundational data and analytical methods to enterprise complaint data, including querying and validating large, structured data sets and performing analysis of free form complaint narratives. The role uses analytical tools and scripting to automate data quality checks, support recurring reporting, and conduct trend and pattern analysis across complaint populations. This position evaluates quantitative and qualitative complaint data to identify emerging risk indicators, anomalies, and gaps in monitoring, and translates analytical findings into clear, risk focused insights to support independent challenge, regulatory responses, and executive reporting in a highly regulated financial services environment.

**For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)**

ESSENTIAL DUTIES AND RESPONSIBILITIES
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.    With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, 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 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.

QUALIFICATIONS
Required Qualifications:
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 zero to four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science