Data Scientist I

Bank of America

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

Posted 10/27/2026full-timeCharlotte • North Carolina • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, risk management, and the application of agile practices to deliver data-driven solutions. Proficient in SQL and data visualization, with strong presentation and communication skills to effectively collaborate with stakeholders.

Highest-signal resume keywords

Data AnalysisSQLAgile PracticesData VisualizationRisk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleansingData QualityStatistical AnalysisMachine LearningText MiningTrend IdentificationPattern RecognitionQuantitative ModelingData ScienceAnalytical Methods

Soft Skills

Written CommunicationProblem SolvingAttention to DetailCuriosityCollaboration

Tools & Technologies

Data Science ToolsAnalytical ToolsTHOR Data SolutionsData Visualization ToolsDocumentation Software

Industry Keywords

Financial Transaction DataBofA ProductsConsumer BrandsUS MarketplaceRisk Awareness

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Analyze and interpret large datasets to uncover revenue generation opportunities and develop risk management strategies
Collaborate with stakeholders to understand business problems and devise data-driven solutions
Perform business analytics, including data analysis, trend identification, pattern recognition, machine learning, text mining, and statistical analysis
Apply agile practices to project management, solution development, deployment, and maintenance
Create and maintain technical documentation for analytical solutions and production implementation
Manage quantitative models, data science products, analysis reports, and data visualizations
Present technical concepts and analysis results to internal stakeholders
Identify potential issues and develop controls to mitigate risk
Research advances in data science and artificial intelligence
Support development, enhancement, maintenance, testing, validation, and retirement of THOR data, AI, and model solutions
Analyze large-scale financial transaction data to identify patterns, anomalies, risks, and opportunities
Develop, evaluate, audit, and validate transaction categorizations and value-added attributes
Partner with model owners, developers, users, and business teams to deliver scalable, compliant solutions
Identify opportunities to reuse AI technologies, models, data assets, and methodologies
Support analytical requests, user documentation, training materials, and presentations for the THOR user community

Requirements

What you’ll need

Data analysis, data cleansing, data quality and validation
Agile practices
Technical documentation
Written communications
Research and analytical methods
Data management and data visualization
Presentation skills
Risk awareness
Problem solving and ability to find creative solutions to data problems
Strong attention to detail and curiosity about data patterns and anomalies
Understanding of BofA products, policies, procedures, and guidelines
Ability to collaborate effectively within and between cross-functional teams
Awareness of the US marketplace and interest in major industries, consumer brands and financial transaction trends
SQL and other analytical and data science tools
40 hours per week

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