Senior Data Scientist: Regulatory Analytics & Testing

Gamma Phi Omega International; Winston-Salem (NC); In loco; USD 130.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Dental insurance

Vision insurance

401k plan

Paid vacation

Descrizione del lavoro

Truist is seeking a Lead Data Scientist for Regulatory Reporting & Data Testing in Winston-Salem, NC. The role focuses on advanced analytics, end-to-end data science delivery, and mentoring junior data scientists on high-impact projects.

The position requires a strong quantitative background, expertise in statistics and ML, and experience with big data tools. On-site work 5 days a week with collaboration across teams.

Competenze

• Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, CS, or Engineering.
• Six years of related experience.
• Domain expertise in banking/fintech/regulatory environments.
• Strong knowledge of statistics, programming (Python, R, SAS), ML, and visualization.
• Experience with Hadoop, Pig, Hive, NoSQL, Spark.
• Experience leading multiple projects and teams.

Mansioni

• Perform sophisticated data analytics (mining, inferential stats, predictive analytics).
• Provide analytics consulting to business areas and stakeholders.
• Co-design solutions to complex business problems with advanced data science.
• Lead and mentor junior teammates and guide analytics initiatives.
• Drive team standards, hiring, onboarding, and coaching.

Conoscenze

Data analytics

Leadership

Mentoring

Communication

Formazione

Bachelor’s degree in quantitative field

Master’s degree preferred

Strumenti

Python

R

SAS

Hadoop

Pig

Hive

Spark

NoSQL

Descrizione del lavoro

Truist is seeking a Lead Data Scientist for Regulatory Reporting & Data Testing in Winston-Salem, NC. The role focuses on advanced analytics, end-to-end data science delivery, and mentoring junior data scientists on high-impact projects.

The position requires a strong quantitative background, expertise in statistics and ML, and experience with big data tools. On-site work 5 days a week with collaboration across teams.