Data Scientist I

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

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role‑specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact.

The Data and AI team within Global Payment Solutions (GPS) at Bank of America

is looking for a highly technical Research Engineer that is a self-starter who can translate complex concepts and generate actionable insights.

Who we are

The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning begins. Many of our projects begin with “think tank” sessions with business teams that is later translated to tangible solutions and products.

Representative Projects

• Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients
• Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions
• Develop AI models that shift foreign currency conversion “up the payment stream,” reducing reliability on beneficiary banks
• Apply advanced NLP techniques to generate near real‑time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality

Who we're looking for

As a Research Engineer on the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue‑driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time‑series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve.

Responsibilities

• Frame abstract business problems using advanced data science and machine learning algorithms
• Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
• Own critical research and application development, strengthening the firm's competitive advantage
• Shape cross-team collaboration to advance the firm's data science capabilities

Required Skills

• Minimum Bachelor’s degree in a quantitative field such as computer science, math, statistics, and physics
• Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++)
• Strong foundation in probability, statistics, and applied machine learning (NLP, time‑series analysis, Generative AI)
• Prior experience working in a highly technical data driven research environment
• Ability to communicate complex topics in a concise and coherent manner

Desired Skills

• Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics
• Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning
• Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever
• Are excited to dive into new technical areas on a regular basis

Shift

1st shift (United States of America)

Hours Per Week

40