Data Scientist I

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

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

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.

If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.

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:

Hours Per Week: