Data Scientist – Level I / Level II

Truist

Data Scientist performing advanced analytics on complex datasets at Truist. Collaborating with stakeholders to provide actionable insights for business decision-making.

Posted 6/24/2026full-timeCharlotte • North Carolina • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Perform advanced analytics to generate actionable insights
Partner with stakeholders to translate business needs into data-driven solutions
Analyze large, complex datasets to identify trends, patterns, and opportunities
Develop, test, and deploy statistical and machine learning models
Communicate findings through data visualization and storytelling
Partner with cross-functional teams to define requirements and deliver data-driven solutions
Perform data preparation, cleansing, and feature engineering
Write, maintain, and deploy code to support analytics and modeling solutions

Requirements

What you’ll need

Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Mathematics, Engineering, or related)
Knowledge of statistical methods, data analysis, and modeling techniques
Experience working with data in academic or professional settings
Experience with Python, SAS, and SQL (preferred)
Experience working with Snowflake or similar cloud data platforms (preferred)
Strong data manipulation, querying, and analysis skills (preferred)
Familiarity with machine learning techniques and model development (preferred)

Benefits

Comp & perks

medical
dental
vision
life insurance
disability
accidental death and dismemberment
tax-preferred savings accounts
401k plan
vacation (minimum of 10 days)
sick days (minimum of 10)
paid holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisstatistical methodsmodeling techniquesdata preparationdata cleansingfeature engineeringmachine learningdata manipulationqueryingdata visualization

Soft Skills

communicationcollaborationstakeholder engagementproblem-solvingstorytelling