Data Scientist II — Predictive Analytics & AI Solutions

Truist Financial Corporation

Charlotte (NC)

On-site

USD 130,000 - 170,000

Full time

2 days ago
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Job summary

Truist is seeking a data science professional to perform sophisticated analytics and build scalable data products for Audit Services in Charlotte. You will apply statistical methods, ML, and AI to extract insights, create dashboards, and automate reporting that informs risk and decision making.

You will lead end-to-end data solutions, collaborate with audit leaders and technology teams, ensure data quality and governance, and mentor others to broaden data literacy across the organization.

Qualifications

  • Bachelor’s degree in a quantitative field with 4+ years of experience.
  • Strong knowledge of statistical methods and econometrics.
  • Experience with SQL, data cleansing, and data extraction.
  • Familiar with big data tooling (Hadoop/Spark) and data governance.

Responsibilities

  • Perform advanced analytics (statistical, ML) to deliver actionable insights.
  • Develop scalable analytics, dashboards, and automated reporting.
  • Collaborate with audit leaders and tech teams to set data standards.
  • Translate business requirements into data products and insights.
  • Lead end-to-end data science solution design and delivery.

Skills

Statistics
Python
SQL
R
SAS
ML basics
Data visualization
Communication

Education

Bachelor’s degree in a quantitative field
Master’s degree or PhD in a quantitative field

Tools

Hadoop
Pig
Hive
NoSQL
Spark
Power BI

Job description

Truist is seeking a data science professional to perform sophisticated analytics and build scalable data products for Audit Services in Charlotte. You will apply statistical methods, ML, and AI to extract insights, create dashboards, and automate reporting that informs risk and decision making.

You will lead end-to-end data solutions, collaborate with audit leaders and technology teams, ensure data quality and governance, and mentor others to broaden data literacy across the organization.

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