Bank Of America Data Scientist 

United States, New York, New York 

454521027

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 aon 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