Data Scientist (Level I / Level II)

Truist•Atlanta, GA

1d•Onsite

About The Position

The position involves performing advanced analytics, including statistical analysis, predictive modeling, and machine learning, to generate actionable insights that improve business outcomes and support decision-making. The role requires partnering with stakeholders to translate business needs into data-driven solutions, working across a variety of structured and unstructured data environments. This role spans multiple experience levels, with scope and complexity increasing based on experience and ability to solve more ambiguous problems.

Requirements

Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Mathematics, Engineering, or related) or equivalent experience
Knowledge of statistical methods, data analysis, and modeling techniques
Experience working with data in academic or professional settings

Nice To Haves

Experience with Python, SAS, and SQL
Experience working with Snowflake or similar cloud data platforms
Strong data manipulation, querying, and analysis skills
Experience working with large, structured and unstructured datasets
Familiarity with machine learning techniques and model development

Responsibilities

Analyze large, complex datasets to identify trends, patterns, and opportunities
Develop, test, and deploy statistical and machine learning models to solve business problems
Translate business questions into analytical approaches and actionable insights
Communicate findings through data visualization and clear storytelling to influence stakeholders
Partner with cross-functional teams to define requirements and deliver data-driven solutions
Perform data preparation, cleansing, and feature engineering across multiple data sources
Write, maintain, and deploy code to support analytics and modeling solutions
Apply sound judgment and follow best practices related to data governance and risk management