Junior Data Scientist: AI & ML Research for Impact

Bank of America; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

Bank of America’s GPS Data and AI team seeks a highly technical Research Engineer who can translate complex concepts into actionable insights and build scalable ML pipelines. You will design statistical models, deploy production-ready algorithms, and collaborate across teams to solve problems in recommendation, forecasting, and AI-driven insights.

The role blends research and engineering in a fast-paced, data-driven environment where you will drive impact on payment solutions and client

Qualifications

• Minimum Bachelor's degree in a quantitative field and strong mathematical background.
• At least 3 years translating mathematical models and algorithms into Python and/or C++ code.
• Solid foundation in probability, statistics and applied ML including NLP and time-series analysis.
• Experience in a technical data-driven research environment and ability to communicate complex topics clearly.

Responsibilities

• Frame business problems using advanced data science and ML methods.
• Collaborate with stakeholders to identify data-driven opportunities for solutions.
• Own research and application development to strengthen competitive advantage.
• Shape cross-team collaboration to advance data science capabilities.

Skills

Mathematical modeling

Statistics

NLP

Time-series analysis

Machine learning

Communication skills

Python

C++

Education

Bachelor's degree in a quantitative field such as computer science, math, statistics, and physics

Tools

Python

C++

Job description

Bank of America’s GPS Data and AI team seeks a highly technical Research Engineer who can translate complex concepts into actionable insights and build scalable ML pipelines. You will design statistical models, deploy production-ready algorithms, and collaborate across teams to solve problems in recommendation, forecasting, and AI-driven insights.

The role blends research and engineering in a fast-paced, data-driven environment where you will drive impact on payment solutions and client