Data Scientist
: Job Details :

Job Description: At Bank of America, each day brings innovation and opportunity. We are dedicated to turning technology advances into treasury solutions for our clients globally - across all segments and industries. We are looking for highly motivated, self-starters who can advocate for our clients in providing liquidity management, payments and receipts, trade and supply chain finance, FX and commercial card services, by complementing high tech with a personalized touch. Challenge the status quo and influence peers with diverse points of view. Forward thinkers with ability to see what's next in treasury management. The future of treasury management is here at Bank of America. Powered by people. Driven by Technology. The GTS Cross Product Solutions team drives and powers innovation within the one of the largest payment businesses in the world. We act as data science consultants to our business partners and clients across the organization, building end-to-end production level solutions at scale. At the core, the team is a collection of individuals that welcomes challenging problems, because that is where the learning begins. For many of our projects, we begin by hosting think tank like sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data and AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build. Our models either in production or in active development leverage cutting edge methods and their applications span across a wide spectrum of business challenges. We are not focused on any niche sets of problems, our mandate is across the entire GTS business (payments, liquidity, pricing, client servicing, etc.) which includes search functionality, optimization, business efficiency and more, requiring a wide range of data science techniques to solve. Required Skills: Must have these skills to be minimally qualified. Bachelor's degree in a quantitative field such as: computer science, math, and physics is preferred Extensive experience with common data science toolkits, such as Python, Pandas, NumPy, and Sklearn Strong understanding of regression and classification techniques Great applied statistics skills, such as distributions, statistical testing, etc. Effective communication skills Inclusive and Inspiring: Seeking motivating team players who value collaboration, celebrating shared success and who actively seek and appreciate diverse thoughts and backgrounds Authentic and Passionate: Seeking highly engaged teammates whose intensity and intentions align and are enthusiastic about the work we are doing for our clients and in our communities Innovative and Curious: Seeking teammates with out-of-the box ideas and solutions, who embrace change with a future-forward mindset, and are looking to challenge the status quo Confident and Agile: Seeking strong communicators who value giving and receiving feedback, easily build relationships, and who are quick thinking, flexible, and always learning and sharing knowledge Desired Skills: Graduate level degree in a quantitative field such as, computer science, math, and physics Experience with Excel and PowerPoint Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib Proficiency in using query languages such as SQL and Hive and NoSQL databases, such as MongoDB and Cassandra Shift: 1st shift (United States of America) Hours Per Week: 40