Data Scientist II

Bank of America Bank of America · Banking · New York, NY +1

Data Scientist II at Bank of America focused on building AI-powered solutions for financial services. The role involves developing generative AI search platforms, applying NLP for real-time insights, and working on recommendation systems and stochastic optimization. It requires strong Python skills, understanding of ML algorithms, and collaboration with data engineers and other scientists.

What you'd actually do

  1. Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
  2. You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS
  3. You will be responsible for the success and improvement of the aplications 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"
  4. You will work closely with other Data Scientists to set technical strategy and prioritize development work

Skills

Required

  • Bachelor’s degree in a quantitative field such as: computer science, math, and physics
  • 3-5 years of data science experience working in a highly technical environment
  • Extensive experience with Excel and PowerPoint
  • 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.)
  • Critical thinking skills
  • Strong verbal, communication, technical design and documentation skills

Nice to have

  • Graduate level degree in a quantitative field such as, computer science, math, and physics
  • Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib

What the JD emphasized

  • Generative AI powered “chatbot-like” search platform
  • Applying advanced NLP techniques to generate near real-time insights
  • recommendation systems, stochastic optimization, and time series forecasting
  • implement A/B testing and research emerging technologies

Other signals

  • Generative AI powered “chatbot-like” search platform
  • Applying advanced NLP techniques to generate near real-time insights
  • recommendation systems, stochastic optimization, and time series forecasting
  • implement A/B testing and research emerging technologies