Data Scientist I

Bank of America•Charlotte, NC
•Onsite

About The Position

The Data Scientist I analyzes and interprets large datasets to identify potential revenue opportunities and develop risk management strategies. The role involves understanding business problems with stakeholders, gathering and analyzing data, developing solutions, and presenting recommendations based on findings. Within Data Science for Technology, Risk, and Operations, the position supports AI and model development across multiple lines of business and throughout the product lifecycle, from ideation through retirement. The work includes streamlining manual processes, improving decision-making, and delivering measurable return on investment through scalable, compliant, integrated solutions. The role also identifies opportunities to reuse existing AI technologies, models, and methodologies across the bank and supports Bank of America's Enterprise AI Catalyst program and AI enablement strategy. The successful candidate combines relationship and project management skills with data science expertise. The position requires collaboration with senior model owners, developers, users, and other stakeholders, along with clear communication of technical findings to technical and non-technical audiences.

Requirements

  • Bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • At least 1 year of related work experience.
  • Applied statistics skills, including distributions, statistical testing, and feature engineering.
  • Understanding and applied knowledge of artificial intelligence and machine learning modeling techniques.
  • Understanding of how artificial intelligence is used and governed in large, regulated U.S. financial institutions.
  • Knowledge of AI and model governance frameworks in large, complex organizations.
  • Technical writing skills.
  • Ability to foster an innovative culture and interact with, influence, and communicate with senior business leaders.
  • Ability to challenge the status quo, identify improvement opportunities, and drive organizational change.
  • Strong interpersonal skills and ability to build credibility and collaborate across organizational levels.
  • Strong verbal and written communication skills and ability to build trusted relationships and influence diverse stakeholders.
  • Ability to translate complex analytical concepts and technical findings into clear, actionable business recommendations for technical and non-technical audiences.

Responsibilities

  • Analyze data, identify trends and patterns, and apply advanced techniques such as machine learning, text mining, and statistical analysis to support decision-making and generate data-driven insights.
  • Apply agile practices to project management, solution development, deployment, and maintenance.
  • Create and maintain technical documentation that captures business requirements and specifications for analytical solutions and their production implementation.
  • Manage multiple priorities and deliver quality work on time, including quantitative models, data science products, analysis reports, and visualizations.
  • Work independently and as part of a team.
  • Present technical concepts and analysis results to diverse internal stakeholders in person and virtually, and build professional relationships to support collaboration.
  • Identify potential issues and develop controls to mitigate risk.
  • Research advances in data science and artificial intelligence to support business analytics.
  • Support AI and model development activities addressing business challenges across the full product lifecycle and multiple lines of business.
  • Identify opportunities to leverage and reuse existing AI technologies, models, and methodologies across the bank, and share best practices.

Benefits

  • Affordable, competitive, and flexible benefits supporting teammates' physical, emotional, and financial wellness.
  • Opportunities to learn, grow, and develop a career.
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