Data Scientist I

Bank of America • Atlanta, GA

3d

About The Position

At Bank of America, the Data Scientist I supports the THOR Data Engineering team and Enterprise AI Catalyst program within Data Science for Technology, Risk, and Operations. The role contributes to development, enhancement, and maintenance of enterprise data, AI, and model solutions. Working with senior model owners, developers, users, and cross-functional partners, the Data Scientist analyzes large-scale financial transaction data, investigates patterns and anomalies, develops and validates value-added attributes, and supports products throughout their lifecycle, from ideation and testing through production and retirement.

The role uses SQL and other analytical and data science tools to deliver scalable, compliant solutions that support decision-making and business applications including revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. It also identifies opportunities to reuse existing AI technologies, models, data assets, and methodologies to reduce duplication and promote best practices.

Responsibilities include supporting THOR product enhancements, quality assurance, production validation, user analytics, technical documentation, training, and presentations. The position calls for strong analytical and data science capabilities, attention to detail, intellectual curiosity, and effective relationship and project management skills. Bank of America describes an in-office culture with role-specific flexibility based on responsibilities and business needs.

Requirements

• Skills in data analysis, data cleansing, data quality, and validation.
• Knowledge of agile practices and technical documentation.
• Strong written communication and presentation skills.
• Research, analytical methods, data management, and data visualization capabilities.
• Risk awareness and problem-solving ability, including finding creative solutions to data problems.
• Strong attention to detail and curiosity about data patterns and anomalies.
• Understanding of Bank of America products, policies, procedures, and guidelines.
• Ability to collaborate effectively within and across cross-functional teams.
• Awareness of the US marketplace and interest in major industries, consumer brands, and financial transaction trends.
• Adaptability and ability to manage multiple priorities while working independently and in a team environment.

Responsibilities

• Perform business analytics, including data analysis, trend identification, and pattern recognition using techniques such as machine learning, text mining, and statistical analysis.
• Support the development, enhancement, and maintenance of THOR data, AI, and model solutions throughout the product lifecycle.
• Analyze large-scale transaction data using SQL and other analytical tools to identify patterns, anomalies, risks, and opportunities.
• Develop, evaluate, audit, and validate transaction categorizations, value-added attributes, and product enhancements.
• Apply agile practices to project management, solution development, deployment, and maintenance.
• Apply established quality-control, testing, documentation, and post-production validation practices.
• Create and maintain technical documentation describing business requirements, specifications, and implementation in production.
• Partner with model owners, developers, users, and business teams to understand requirements and deliver scalable, compliant solutions.
• Identify opportunities to reuse existing AI technologies, models, data assets, and methodologies across the enterprise.
• Manage multiple priorities and deliver quality work on time, including quantitative models, data science products, analysis reports, and visualizations.
• Support analytical requests, user documentation, training materials, and presentations for the THOR user community.
• Communicate technical concepts and analysis results to internal stakeholders through in-person and virtual conversations and presentations.
• Mitigate risk by identifying potential issues and developing controls.
• Research advances in data science and artificial intelligence to support business analytics.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed