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Bank Of America Data Scientist United States, New York, New York 701308051
Job Description Details:
The data science team (within GPS) is working on more than five projects that are driving/will drive significant impact across the GPS business. Some examples include:
A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients
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
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
Who we’re looking for:
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
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, and collaborate with Data Scientists to meet the needs of the "users"
Work closely with other Data Scientists to set technical strategy and prioritize development work
Required Skills:
Minimum of 3 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
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.)
Take feedback and transform it into strategic action
Desired Qualifications:
Data visualization tools, such as D3.js, GGplot, and Matplotlibexpereince
BA in a quantitative field such as: computer science, math, and physics or equivalent work experience
Skills:
Adaptability
Attention to Detail
Business Analytics
Technical Documentation
Agile Practices
Application Development
Collaboration
Data Visualization
DevOps Practices
Artificial Intelligence/Machine Learning
Networking
Policies, Procedures, and Guidelines Management
Presentation Skills
Risk Management
Critical Thinking Skills
Written Communications
Verbal Communications
Tech Design Skills
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