Data Scientist III- Human Capital Data and Analytics Enablement

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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 III designs and delivers analytics-driven digital products that enable executive and business-unit leadership to make informed, data-driven decisions. This role goes beyond traditional analysis by owning the end-to-end creation of scalable dashboards, tools, and analytical solutions that surface key metrics, trends, and predictive insights for senior leaders.

As a self-starter, this individual will help shape the role and analytics roadmap, working closely with mid-level and executive leadership to gather requirements, translate business questions into analytical frameworks, and design intuitive, high-impact dashboards and reporting experiences. These digital products will allow leaders to securely sign in and monitor the performance, risks, and opportunities within their business units in near real time.

The Data Scientist III performs advanced analytics using human capital data sourced from the cloud. The role partners closely with HR and data engineering teams as the Snowflake environment continues to mature, ensuring data quality, usability, and analytical readiness.

In addition to hands-on development, this role acts as a trusted analytics advisor, consulting with stakeholders on how to interpret insights, embed analytics into decision-making, and build strategies around data. The Data Scientist III leads smaller, well-scoped projects independently, plays key roles on larger, more complex initiatives, and serves as a resource and mentor to less-experienced analysts and data scientists.

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. Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.

2. Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery (including building the visualization using Tableau, Qlik ,Sigma or another enterprise sanctioned tool), and measurable business outcome.

3. Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences.

4. Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.

5. Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation.

6. 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; help with the overall risk management for the team.

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.

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 in a quantitative field such as Finance, Mathematics, Analytics, Data…