Data Scientist I

Key Responsibilities

• Performs business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis) 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 business requirements and specifications related to analytical solutions and their implementation.
• 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.
• Mitigates risk by identifying potential issues and developing controls.
• Researches the latest advances in data science and artificial intelligence to support business analytics.
• Supports AI and model development activities addressing key business challenges throughout the full product lifecycle across multiple lines of business.
• Works directly with senior model owners, developers, and users.
• Focuses on streamlining manual processes, improving decision-making, and delivering measurable ROI through scalable, compliant, and integrated solutions.
• Provides cross-functional insights and identifies opportunities to leverage existing AI technologies, models, and methodologies across the bank to avoid duplication, promote reuse, and share best practices.
• Directly supports Bank of America's Enterprise AI Catalyst program and contributes to the company's AI enablement strategy.

Requirements & Tech Stack

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Good, applied statistics skills, such as distributions, statistical testing, feature engineering.
• Understanding and applied knowledge of Artificial Intelligence and machine learning modelling techniques.
• Excellent understanding of how Artificial Intelligence is used and governed in large regulated US financial institutions.
• Technical writing skills.

Qualifications

• Demonstrated ability to foster an innovative culture while effectively interacting with, influencing, and communicating with senior business leaders.
• Strong track record of challenging the status quo, identifying opportunities for improvement, and driving organizational change.
• Knowledge of AI and model governance frameworks within large, complex organizations.
• Excellent interpersonal skills with the ability to build credibility and collaborate effectively across all levels of the organization.
• Strong verbal and written communication skills, with a demonstrated 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.
• Adaptability
• Attention to Detail
• Business Analytics
• Technical Documentation
• Written Communications
• Agile Practices
• Application Development
• Collaboration
• Data Visualization
• DevOps Practices
• Artificial Intelligence/Machine Learning
• Networking
• Policies, Procedures, and Guidelines Management
• Presentation Skills
• Risk Management