Data Scientist II

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 a diverse and 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.

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

Job Description:
This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

The Data and AI team within Global Payment Solutions (GPS) at Bank of America is looking for a Data Scientist that is a self-starter who can translate complex concepts and generate actionable insights.

Who we are:

Using cutting edge Generative AI and Machine Learning techniques, the GPS Data and AI team drives and powers innovation within one of the largest payment businesses in the world. We are the engine that fuels our business partners and clients across the organization globally, building revolutionary end-to-end production level solutions at scale. At our core, we are a team that is a collection of individuals who welcome challenging problems, because that is where the learning begins – and we are at the front line of the long-term transformation of how AI is applied at one of the largest banking institutions in the world. For many of our projects, we begin by hosting “think tank” sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data, AI and Generative AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build.

What we’re building:

The data science team (within GPS) is working on multiple projects that are driving/will drive significant impact across the GPS business. Some examples include:

•                A Generative AI powered search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions that will ultimately unite all of our structured and unstructured data

•                A comprehensive machine learning model that helps to move foreign currency conversion “up the payment stream”

•                A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients

•                Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients

Who we’re looking for:

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.

You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties.      

Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions

• Impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS

• Responsible for the success and improvement of the applications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective prod