Data Scientist I
Role Overview
The Data Scientist I supports AI and model development for business challenges across multiple lines of business.
The role spans the product lifecycle from ideation through retirement and focuses on scalable, compliant, integrated solutions.
The role supports the Enterprise AI Catalyst program and the bank’s AI enablement strategy.
Key Skills for This Role
Full Job Posting
Company Overview
Bank of America focuses on responsible growth, client service, employee development, and enterprise risk management.
The Data Science for Technology, Risk, and Operations organization supports AI governance, model oversight, model development, and enterprise data engineering.
Role Overview
The Data Scientist I supports AI and model development for business challenges across multiple lines of business.
The role spans the product lifecycle from ideation through retirement and focuses on scalable, compliant, integrated solutions.
The role supports the Enterprise AI Catalyst program and the bank’s AI enablement strategy.
Responsibilities
- Perform business analytics, data analysis, trend identification, pattern recognition, and advanced modeling.
- Apply agile practices to solution development, deployment, and maintenance.
- Document business requirements, specifications, and analytical solution implementation.
- Manage models, data science products, reports, and visualizations while maintaining quality and timeliness.
- Communicate technical concepts and findings to technical and non-technical stakeholders.
- Identify risks, develop controls, research AI advances, and promote reuse of AI solutions.
Required Skills and Technical Qualifications
- Bachelor’s or master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.
- At least 1 year of related work experience.
- Applied statistics knowledge, including distributions, statistical testing, and feature engineering.
- Applied knowledge of artificial intelligence and machine learning modeling techniques.
- Understanding of AI use and governance in large regulated U.S. financial institutions.
- Technical writing and strong verbal and written communication skills.
- Ability to translate complex analytical concepts into actionable business recommendations.
Desired Skills
- Experience with scikit-learn, PyTorch, or TensorFlow.
- Experience building generative AI applications, copilots, agents, or workflow automation solutions.
- Familiarity with model governance, model risk management, or AI governance frameworks.
- Experience with REST APIs, microservices, enterprise integration, software testing, or code reviews.
- Experience in financial services, risk management, compliance, audit, or operational processes.
- Experience with GitHub Copilot or VS Code.
Workplace and Schedule
- Bank of America maintains an in-office culture with role-specific expectations and flexibility based on business needs.
- The role is listed for first shift in the United States of America and 40 hours per week.
Team Context
Global Risk Analytics develops models and analytical tools for risk and capital measurement, management, and reporting.
The Artificial Intelligence Development Executive team reviews and challenges AI risk assessments and readiness tollgates.
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