Data Scientist I

Data Scientist I New York, New York;Charlotte, North Carolina To proceed with your application, you must be at least 18 years of age. Acknowledge Refer a friend To proceed with your application, you must be at least 18 years of age. Acknowledge ( 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 teammatesu2019 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 technicalResearch Engineerthat 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 u201cthink tanku201d 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 u201cup the payment stream,u201d 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 weu2019re looking for: As aResearch Engineeron 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 Bacheloru2019s 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 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your

Created: 2025-12-05