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Bank Of America Data Scientist United States, New York, New York 899476389
Job Description Details:
What we’re building:
The data science team (within GPS) is working on multiple projects that are driving/will drive significant impact across the GPS business. Some examples include:
A Generative AI powered search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions that will ultimately unite all of our structured and unstructured data
A comprehensive machine learning model that helps to move foreign currency conversion “up the payment stream”
A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients
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"
You will work closely with other Data Scientists to set technical strategy and prioritize development work
Required Qualifications:
Minimum of 1 to 3 years of hands-on data science experience working in a highly technical environment
Extensive experience with Natural Language Processing techniques and Generative AI frameworks such as RAG, text embedding, finetuning, etc.
Strong understanding of data structures and algorithms with substantial Python experience
Understanding of how to frame a data science problem and a deep understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)
Critical thinking skills; able to take feedback and transform it into strategic action
Strong verbal, communication, technical design, and documentation skills
Bachelor’s degree in a quantitative field such as: computer science, math, and physics
Desired Qualifications:
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
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