At Bank of America, the Data Science Team is working on projects to drive significant impact across the GPS business, including developing advanced statistical methods for client pricing, creating a Generative AI chatbot for sales and product teams, optimizing foreign currency conversion, and applying NLP for real-time client servicing insights.
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
- 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 applications that support development, research, and data science in GPS (the "products")
- help set long-term vision and strategy for selective products
- 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
- implement A/B testing and research emerging technologies
Other
- 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.
- Critical thinking skills; able to take feedback and transform it into strategic action
- Strong verbal, communication, technical design and documentation skills
