Data Scientist I

Bank of America

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

Posted 9/18/2026full-timeAtlanta • North Carolina • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, machine learning, and statistical techniques to identify revenue opportunities and manage risks. Proficient in SQL and data visualization, with strong capabilities in technical documentation and agile project management.

Highest-signal resume keywords

Data AnalysisSQL ProgrammingMachine LearningAgile PracticesData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceFeature EngineeringData EngineeringStatistical AnalysisText MiningTrend IdentificationData CleansingData QualityRisk ManagementResearch Methodology

Soft Skills

Written CommunicationPresentation SkillsProblem SolvingAttention to DetailCollaboration

Tools & Technologies

SQLSASTeradataAnalytical ToolsTHOR Database

Industry Keywords

Bank of America ProductsFinancial Transaction TrendsUS MarketplaceConsumer BrandsData Management

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Analyze and interpret large datasets to identify revenue generation opportunities and develop risk management strategies
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 business requirements, specifications, analytical solutions, and production implementation
Manage quantitative models, data science products, data 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
Contribute to development and maintenance of the THOR information product
Use SQL and analytical tools to investigate transaction data, identify anomalies, support value-added attributes, and validate production changes
Build knowledge of THOR database structures, data sources, attributes, and production processes
Support product enhancement analysis, quality control, testing, documentation, and post-production validation
Investigate and communicate data anomalies, risks, questions, and opportunities
Evaluate approaches for transaction categorization and THOR attributes
Support ad hoc analytical requests, user documentation, training materials, and presentations
Collaborate with team members and cross-functional partners to resolve data and development issues

Requirements

What you’ll need

2-5 years of experience with data science/feature engineering/data engineering
Strong programming skills in SQL/SAS
Experience working with Teradata table structures
Bachelor’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline, or related work experience is preferred
Familiarity with statistical and non-statistical analytical techniques
Experience with research methodology/design of experiments
Ability to work with incomplete/ambiguous information, organize available facts, and discern subtle patterns
Ability to integrate diverse information sources, tools and techniques into production processes
Data analysis, data cleansing, data quality and validation
Agile practices and technical documentation
Data management and data visualization
Written communications and presentation skills
Risk awareness, adaptability, and problem solving
Strong attention to detail and curiosity about data patterns and anomalies
Understanding of Bank of America 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

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for teammates’ physical, emotional, and financial wellness
In-office culture with role-specific flexibility
Opportunities to learn, grow, and make an impact