Bank Of America Data Scientist II 

United States, New York, New York 

784279869

Job Description:

Job Description:
This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

What we’re building:

• 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

• Impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS

• 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 Qualifications:

• Bachelor’s degree in a quantitative field such as: computer science, math, and physics

• Minimum of 3 to 5 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

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

Skills:

• Agile Practices

• Application Development

• DevOps Practices

• Technical Documentation

• Written Communications

• Artificial Intelligence/Machine Learning

• Business Analytics

• Data Visualization

• Presentation Skills

• Risk Management

• Adaptability

• Collaboration

• Consulting

• Networking

• Policies, Procedures, and Guidelines Management

1st shift (United States of America)