Data Scientist I

Bank of America

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science, machine learning, and analytics to develop innovative solutions for business challenges. Proficient in Python, SQL, and Agile methodologies, with a strong ability to communicate complex technical concepts to diverse stakeholders.

Highest-signal resume keywords

Data ScienceMachine LearningPython ProgrammingSQL Database ManagementAgile Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisTrend IdentificationPattern RecognitionAutomation TechniquesLarge Language ModelsModel GovernanceCI/CD PipelinesSoftware TestingCode Reviews

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaborationCross-Functional Teamwork

Tools & Technologies

JiraGitLangChainModel Context ProtocolRetrieval Augmented GenerationVector DatabasesLangGraphREST APIsMicroservicesGitHub Copilot

Industry Keywords

Financial ServicesRisk ManagementComplianceAuditOperational Processes

Tech Stack

Tools & technologies

MicroservicesPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Analyze and interpret large datasets to uncover potential 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, and pattern recognition, using machine learning, text mining, and statistical analysis
Apply Agile practices for project management, solution development, deployment, and maintenance
Develop, test, and deploy data science, machine learning, and AI-driven solutions
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
Present technical concepts and analysis results to internal stakeholders through in-person and virtual conversations
Develop professional relationships and collaborate across Global Risk Analytics, Global Technology, Global Compliance & Operational Risk, and other business teams
Identify potential issues and develop controls to mitigate risk
Research advances in data science and artificial intelligence
Support automation, analytics, modeling, model governance, and innovative solutions across risk, compliance, and technology domains

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) and associated frameworks and tools, including 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
Desired: Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow
Desired: Experience building GenAI applications, copilots, agents, or workflow automation solutions
Desired: Familiarity with model governance, model risk management, or AI governance frameworks
Desired: Experience working with REST APIs, microservices, and enterprise application integration
Desired: Experience with software testing, code reviews, and development best practices
Desired: Experience in financial services, risk management, compliance, audit, or operational processes
Desired: Experience using modern AI development tools such as GitHub Copilot and VS Code

Benefits

Comp & perks

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