Data Scientist I

Bank of America

. Analyze and interpret large datasets to identify revenue generation opportunities and develop risk management strategies .

Posted 11/5/2026full-timeUnited StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, machine learning, and statistical techniques to drive revenue generation and risk management strategies. Proficient in translating complex analytical findings into actionable business recommendations while fostering collaboration across organizational levels.

Highest-signal resume keywords

Data AnalysisMachine LearningStatistical AnalysisTechnical WritingAI Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied StatisticsTrend IdentificationPattern RecognitionFeature EngineeringData VisualizationRisk ManagementData Science ProductsQuantitative ModelsText MiningAgile Practices

Soft Skills

Interpersonal SkillsCommunication SkillsCollaborationInnovative CultureOrganizational Change

Industry Keywords

Artificial IntelligenceFinancial InstitutionsModel GovernanceData-Driven SolutionsEnterprise AI Catalyst

About the role

Key responsibilities & impact

Analyze and interpret large datasets to identify revenue generation opportunities and develop risk management strategies
Collaborate with stakeholders to understand business problems and devise data-driven solutions
Present recommendations based on analytical findings
Perform business analytics, including data analysis, trend identification, and pattern recognition
Apply machine learning, text mining, and statistical analysis techniques
Apply agile practices for project management, solution development, deployment, and maintenance
Create and maintain technical documentation for analytical solutions and production implementation
Manage multiple priorities and deliver quantitative models, data science products, analysis reports, and data visualizations
Deliver presentations and communicate technical concepts and analysis results to internal stakeholders
Mitigate risk by identifying potential issues and developing controls
Research advances in data science and artificial intelligence
Support AI and model development across the full product lifecycle and multiple lines of business
Work with senior model owners, developers, and users
Streamline manual processes, improve decision-making, and deliver scalable, compliant, integrated solutions
Identify opportunities to reuse AI technologies, models, and methodologies across the bank
Support Bank of America's Enterprise AI Catalyst program and AI enablement strategy

Requirements

What you’ll need

Demonstrated ability to foster an innovative culture while interacting with, influencing, and communicating with senior business leaders
Strong track record of challenging the status quo, identifying opportunities for improvement, and driving organizational change
Knowledge of AI and model governance frameworks within large, complex organizations
Excellent interpersonal skills and ability to build credibility and collaborate across all organizational levels
Strong verbal and written communication skills
Ability to translate complex analytical concepts and technical findings into clear, actionable business recommendations
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
1+ years of related work experience
Applied statistics skills, including distributions, statistical testing, and feature engineering
Understanding and applied knowledge of artificial intelligence and machine learning modeling techniques
Understanding of how artificial intelligence is used and governed in large regulated US financial institutions
Technical writing skills
Ability to work 40 hours per week
1st shift availability (United States of America)

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
In-office culture supporting collaboration, engagement, and career development
Flexibility based on role-specific responsibilities and business needs