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 StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, machine learning, and risk management, with a strong ability to translate business requirements into technical solutions. Proficient in Agile methodologies and capable of delivering data-driven insights and solutions in a collaborative environment.

Highest-signal resume keywords

Data AnalysisMachine LearningPython DevelopmentSQL ProficiencyAgile Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical AnalysisTrend IdentificationPattern RecognitionRisk ManagementQuantitative ModelingData VisualizationText MiningAutomation TechniquesCI/CD Pipelines

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaborationTime Management

Tools & Technologies

JiraGitLarge Language ModelsLangChainModel Context ProtocolRetrieval Augmented GenerationVector DatabasesLangGraph

Industry Keywords

Data-Driven SolutionsBusiness AnalyticsCross-Functional CollaborationTechnical DocumentationAgile Practices

Tech Stack

Tools & technologies

PythonSQL

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
Perform business analytics, 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 for business requirements, specifications, and production implementation
Manage multiple priorities and deliver quantitative models, data science products, data analysis reports, and data visualizations
Present technical concepts and analysis results to diverse internal stakeholders
Identify potential issues and develop controls to mitigate risk
Research advances in data science and artificial intelligence
Support the development, testing, and deployment of data science, machine learning, and AI-driven solutions across risk, compliance, and technology organizations

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 experience applying data science, machine learning, analytics, or automation techniques to solve business problems, including internships or equivalent experience where appropriate
Strong analytical, problem-solving, and communication skills
Ability to work effectively in a cross-functional environment and translate business requirements into technical solutions
Experience managing multiple priorities and delivering quality work in a fast-paced environment
Experience working in Agile delivery environments and using project management tools such as Jira
Experience developing solutions using Python and SQL
Experience with Large Language Models (LLMs), LangChain, Model Context Protocol (MCP), Retrieval Augmented Generation (RAG), vector databases, and LangGraph
Experience with Git and modern software development practices
Experience working with CI/CD pipelines and version control workflows
Ability to work effectively in a collaborative, cross-functional environment

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 flexibility based on role-specific responsibilities and business needs