Data Scientist I

Bank of America

. Analyze and interpret large datasets to uncover 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 artificial intelligence within a regulated financial environment, while effectively communicating complex concepts to diverse stakeholders. Proven ability to manage multiple priorities and deliver data-driven insights that drive organizational change and improve decision-making.

Highest-signal resume keywords

Data AnalysisMachine LearningArtificial IntelligenceTechnical WritingStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied StatisticsFeature EngineeringTrend IdentificationPattern RecognitionRisk Management StrategiesQuantitative ModelingData VisualizationAgile PracticesText MiningAI Governance

Soft Skills

Interpersonal SkillsCollaborationCommunicationInnovative Culture FosteringFlexibility

Industry Keywords

Financial InstitutionData ScienceModel GovernanceEnterprise AI CatalystRegulated Environment

About the role

Key responsibilities & impact

Analyze and interpret large datasets to uncover revenue-generation opportunities and develop risk-management strategies
Perform business analytics, including data analysis, trend identification, and pattern recognition, using machine learning, text mining, and statistical analysis
Apply agile practices to project management, solution development, deployment, and maintenance
Create and maintain technical documentation covering business requirements, specifications, analytical solutions, and production implementation
Manage multiple priorities and deliver quantitative models, data science products, data analysis reports, and data visualizations accurately and on time
Present technical concepts and analytical results to diverse internal stakeholders through in-person and virtual conversations
Build professional relationships and collaborate with senior model owners, developers, users, and cross-functional stakeholders
Identify potential issues and develop controls to mitigate risk
Research advances in data science and artificial intelligence
Support AI and model development across the full product lifecycle for multiple lines of business
Streamline manual processes, improve decision-making, and deliver measurable ROI through scalable, compliant, integrated solutions
Identify opportunities to reuse existing AI technologies, models, and methodologies across the bank
Contribute to Bank of America’s Enterprise AI Catalyst program and AI enablement strategy

Requirements

What you’ll need

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
Good, applied statistics skills, such as distributions, statistical testing, and feature engineering
Understanding and applied knowledge of Artificial Intelligence and machine learning modelling techniques
Excellent understanding of how Artificial Intelligence is used and governed in a large regulated US financial institution
Technical writing skills
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 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
Flexibility, resilience, accountability, disciplined approach, and commitment to responsible growth

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for teammates’ physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
In-office culture supporting collaboration, engagement, and career development
40 hours per week
1st shift