Data Scientist I — AI & Risk Analytics

Bank of America; Atlanta (GA); Sur place; USD 90 000 - 120 000; Plein temps

Résumé du poste

Bank of America is seeking a Data Scientist I to analyze large datasets, develop ML-driven solutions, and support risk and compliance initiatives across the enterprise. You will collaborate with stakeholders to translate business problems into actionable analytics and models, while applying AI governance and modern software practices.

The role emphasizes developing, testing, and deploying solutions with a focus on data visualization and cross-functional collaboration.

Qualifications

• Bachelor's or Master's degree in a quantitative field such as Data Science, CS, Statistics, Math or Engineering.
• 1+ years applying data science, ML, analytics, or automation to real business problems (incl. internships).
• Strong analytical, problem-solving, and communication skills.
• Experience in Agile delivery environments and using Jira.

Responsabilités

• Analyze and interpret large datasets to uncover revenue opportunities and risk management strategies.
• Collaborate with stakeholders to translate business problems into technical solutions.
• Develop and deploy data science, ML, and AI-driven solutions across the enterprise.
• Create and maintain technical docs for analytical solutions and implementations in production.
• Present findings to internal stakeholders and communicate complex concepts clearly.

Connaissances

Strong analytical skills

Problem solving

Communication skills

Agile practices

Python

SQL

Git

Formation

Bachelor's or Master's degree in Data Science/CS/Statistics/Math/Engineering

Outils

LangChain

MCP

RAG

Vector databases

LangGraph

CI/CD pipelines

Description du poste

Bank of America is seeking a Data Scientist I to analyze large datasets, develop ML-driven solutions, and support risk and compliance initiatives across the enterprise. You will collaborate with stakeholders to translate business problems into actionable analytics and models, while applying AI governance and modern software practices.

The role emphasizes developing, testing, and deploying solutions with a focus on data visualization and cross-functional collaboration.