Senior Data Scientist - Regulatory Analytics & Testing Lead

TalentAlly; Winston-Salem (NC); In loco; USD 130.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health benefits

401k plan

Paid vacation

Disability insurance

Descrizione del lavoro

Truist Financial Corporation in Winston-Salem, NC seeks a senior data scientist to perform sophisticated analytics, lead and educate junior data scientists, and provide consultative insights to leadership. The role requires deep statistical and ML expertise and on-site collaboration with cross-functional teams.

Responsibilities include end-to-end solution ownership, risk-aware analytics practices, and driving analytics initiatives across the team while mentoring others and contributing to hiring

Competenze

• Bachelor's degree in a quantitative field (Finance, Mathematics, Analytics, Data Science, CS or Engineering) or equivalent
• Six years of related experience in data science or analytics
• Demonstrate SME in banking/fintech or regulatory risk domains with progressive responsibility
• Strong knowledge of statistics, programming (Python/R/SAS) and ML/model development

Mansioni

• Perform advanced data analytics on structured and unstructured data to identify actionable insights
• Own end-to-end data science solution design and delivery with measurable outcomes
• Provide analytical consulting to business areas and partners
• Co-design optimal solutions to complex business problems using advanced data science
• Mentor and lead junior teammates and coordinate cross-functional analytics initiatives
• Lead hiring, onboarding and coaching of new teammates

Conoscenze

Statistics

Programming (Python/R/SAS)

Machine Learning

Project leadership

Formazione

Bachelor's degree in quantitative field

Master's degree or PhD (preferred)

Strumenti

Hadoop

Pig

Hive

NoSQL

Spark

Descrizione del lavoro

Truist Financial Corporation in Winston-Salem, NC seeks a senior data scientist to perform sophisticated analytics, lead and educate junior data scientists, and provide consultative insights to leadership. The role requires deep statistical and ML expertise and on-site collaboration with cross-functional teams.

Responsibilities include end-to-end solution ownership, risk-aware analytics practices, and driving analytics initiatives across the team while mentoring others and contributing to hiring