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Data Scientist I
Bank of America. Analyze and interpret large datasets to uncover potential revenue generation opportunities and develop risk management strategies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, machine learning, and artificial intelligence, with a strong focus on risk management and revenue generation in regulated financial environments. Proficient in technical writing and stakeholder communication, facilitating collaboration across diverse teams.
Highest-signal resume keywords
Data AnalysisMachine LearningArtificial IntelligenceTechnical WritingRisk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Applied StatisticsFeature EngineeringMachine Learning Modelling TechniquesData VisualizationStatistical Testing
Soft Skills
Interpersonal SkillsCommunication SkillsInnovative Culture FosteringCollaboration
Tools & Technologies
Scikit-learnPyTorchTensorFlowREST APIsGitHub CopilotVS Code
Industry Keywords
Financial ServicesModel GovernanceModel Risk ManagementComplianceOperational Processes
Tech Stack
Tools & technologiesMicroservicesPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Analyze and interpret large datasets to uncover potential 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, and production implementation
- Manage multiple priorities and deliver quantitative models, data science products, data analysis reports, and data visualizations with quality and timeliness
- Present technical concepts and analysis results to diverse internal stakeholders in person and virtually
- Build professional relationships and collaborate with stakeholders, senior model owners, developers, and users across lines of business
- 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, from ideation through retirement
- Streamline manual processes, improve decision-making, and deliver scalable, compliant, integrated solutions
- Identify opportunities to leverage existing AI technologies, models, and methodologies to avoid duplication, promote reuse, and share best practices
- Support 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 large regulated US financial institutions
- 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 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 for technical and non-technical audiences
- Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow is desired
- Experience building GenAI applications, copilots, agents, or workflow automation solutions is desired
- Familiarity with model governance, model risk management, or AI governance frameworks is desired
- Experience with REST APIs, microservices, and enterprise application integration is desired
- Experience with software testing, code reviews, and development best practices is desired
- Experience in financial services, risk management, compliance, audit, or operational processes is desired
- Experience using GitHub Copilot and VS Code is desired
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
- Full-time employment
- 40 hours per week
- 1st shift