Data Scientist I

Bank of America

Data Scientist analyzing large datasets to uncover revenue opportunities at Bank of America. Collaborating with stakeholders and applying advanced analytics techniques for business insights.

Posted 6/10/2026full-timeCharlotte • North Carolina, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

machine learningsupervised learningunsupervised learningreinforcement learningPythonJavadata analysistrend identificationpattern recognitionAI/ML application deployment

Soft Skills

communication skillsinterpersonal skillscollaborationproblem-solvingpresentation skillstime managementrisk mitigationanalytical skills

Tools & Technologies

GitAzureAWStechnical documentationagile practices

Industry Keywords

data scienceartificial intelligenceTransformersLarge Language ModelsGenerative AIRetrieval-Augmented Generationdata gatheringbusiness analytics

Tech Stack

Tools & technologies

AWSAzureCloudJavaPython

About the role

Key responsibilities & impact

Analyzing and interpreting large datasets to uncover potential revenue generation opportunities
Collaborating with key stakeholders to comprehend business problems
Utilizing data gathering and analysis techniques to devise solutions
Presenting recommendations based on the findings
Performing business analytics, which include data analysis, trend identification, and pattern recognition
Applying agile practices for project management
Creating and maintaining technical documentation
Managing multiple priorities and maintaining quality and timeliness of work deliverables
Delivering engaging presentations and effectively communicating technical concepts
Mitigating risk by identifying potential issues and developing controls
Researching the latest advances in the fields of data science and artificial intelligence

Requirements

What you’ll need

Strong foundation in machine learning techniques, including supervised, unsupervised, and reinforcement learning
Solid understanding of modern AI advancements, including Transformers, Large Language Models (LLMs), Generative AI, and Retrieval‑Augmented Generation (RAG) architectures
5+ years of proficiency in Python and/or Java
Hands‑on experience using version control systems (e.g., Git)
Demonstrated ability to analyze and decompose complex requirements
Working knowledge of deploying and optimizing AI/ML applications on CPU and GPU infrastructures
Strong communication and interpersonal skills
Familiarity with cloud platforms (Azure and/or AWS)

Benefits

Comp & perks

Competitive benefits to support physical, emotional, and financial well-being