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Bank of America

Data Scientist

Bank of America

. Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights .

Posted 4/29/2026full-timePlano • North Carolina, Texas • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
  • Applies agile practices for project management, solution development, deployment, and maintenance
  • Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
  • Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
  • Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
  • Mitigates risk by identifying potential issues and developing controls
  • Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

Requirements

What you’ll need
  • 2 years Python development skills
  • Knowledge of machine learning and related techniques
  • Knowledge of recent developments in AI space including but not limited to transformers, LLMs, Generative AI
  • Adept at leveraging ML/AI techniques to solve critical business problems with good understanding of Supervised, Unsupervised and Reinforcement Learning.
  • Good interpersonal communication skills for tech and business conversations
  • Good analytical skills to break down requirements, solve complex problems
  • Minimum Education Requirement: Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field or equivalent experience

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Pythonmachine learningtext miningstatistical analysisdata analysisdata visualizationSupervised LearningUnsupervised LearningReinforcement LearningGenerative AI
Soft Skills
interpersonal communicationanalytical skillsteamworkindependencepresentation skillscollaborationproblem-solvingtime managementrisk mitigationadaptability