Data Scientist I — AI & Risk Analytics

National Black MBA Association; Northern (KY); On-site; USD 95,000 - 120,000; Full time

Job summary

Bank of America is seeking a Data Scientist I to analyze large datasets, develop ML/AI solutions, and collaborate with stakeholders across Global Risk Analytics and Technology teams. This role emphasizes building scalable analytics, deploying models, and translating business problems into technical solutions.

You will work in an Agile environment, contribute to data-driven risk insights, and advance governance and best practices while supporting enterprise data science initiatives.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 1+ years of data science or ML experience.
• Strong analytical and communication skills.
• Cross-functional collaboration ability.
• Experience in Agile environments.
• Experience with Jira.

Responsibilities

• Performs business analytics with data analysis, trend identification, and pattern recognition using advanced techniques to support decision-making.
• Applies agile practices for project management, solution development, deployment, and maintenance.
• Creates and maintains technical documentation of requirements and specifications for analytical solutions.
• Manages multiple priorities and ensures quality, timely deliverables for models and data visualizations.
• Delivers presentations and communicates results to diverse internal stakeholders to foster collaboration.
• Mitigates risk by identifying issues and developing controls.
• Researches advances in data science and AI to support analytics.

Skills

Analytical skills

Problem-solving

Communication skills

Cross-functional collaboration

Agile/Jira experience

Prioritization/ multitasking

Education

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

Tools

Jira

Git

CI/CD

LangChain

MCP

RAG

Vector databases

LangGraph

REST APIs

Job description

Bank of America is seeking a Data Scientist I to analyze large datasets, develop ML/AI solutions, and collaborate with stakeholders across Global Risk Analytics and Technology teams. This role emphasizes building scalable analytics, deploying models, and translating business problems into technical solutions.

You will work in an Agile environment, contribute to data-driven risk insights, and advance governance and best practices while supporting enterprise data science initiatives.