Data Scientist I — AI & Risk Analytics for Enterprise

Bank of America; United States; On-site; USD 90,000 - 140,000; Full time

Job summary

Bank of America Data Scientist I role supports the THOR Data Engineering team and the Enterprise AI Catalyst program. You will analyze large-scale transaction data using SQL to uncover patterns, anomalies, and value-added attributes, contributing to scalable data solutions across the product lifecycle.

You will work with senior model owners and cross-functional partners to deliver compliant analytics that improve decision-making, automate processes, and support revenue generation, risk

Qualifications

• Data analysis, cleansing, and quality validation to support decision-making.
• Experience with agile practices for project management.
• Ability to document requirements and technical specifications.
• Strong written and verbal communication and presentation skills.
• Knowledge of data management and risk awareness.

Responsibilities

• Analyze large-scale transaction data using SQL to identify patterns and risks.
• Develop and validate transaction categorizations and attributes.
• Create and maintain technical documentation and production-ready solutions.
• Collaborate with stakeholders to understand requirements and deliver scalable solutions.
• Support data science products from ideation to production.

Skills

Data Analysis

SQL

Agile Practices

Technical Documentation

Data Visualization

Presentation Skills

Problem Solving

Attention to Detail

Tools

SQL

Data Visualization Tools

Job description

Bank of America Data Scientist I role supports the THOR Data Engineering team and the Enterprise AI Catalyst program. You will analyze large-scale transaction data using SQL to uncover patterns, anomalies, and value-added attributes, contributing to scalable data solutions across the product lifecycle.

You will work with senior model owners and cross-functional partners to deliver compliant analytics that improve decision-making, automate processes, and support revenue generation, risk