Bank of America's data science team is working on multiple projects to drive significant impact across the GPS business, including optimizing client pricing, developing AI-powered search platforms, improving foreign currency conversion, and generating real-time client insights for servicing teams.
Requirements
- Solid understanding of data structures and algorithms with substantial Python experience
- Understanding of how to frame a data science problem and a high-level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)
- Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib
Responsibilities
- Leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients
- Developing a Generative AI powered “chatbot-like” search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions
- Developing a comprehensive AI model that helps to move foreign currency conversion “up the payment stream” and away from the beneficiary banks
- 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
- Tackling a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting
- Implementing A/B testing
- Researching emerging technologies
Other
- Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
- You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS
- You will be responsible for the success and improvement of the aplpications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"
- You will work closely with other Data Scientists to set technical strategy and prioritize development work
- 3-5 years of data science experience working in a highly technical environment
- Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work
- Critical thinking skills; able to take feedback and transform it into strategic action
- Strong verbal, communication, technical design and documentation skills
