Data Scientist

Overview

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in‑office culture with specific requirements for office‑based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role‑specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

• Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision‑making and drive data‑driven insights
• Applies agile practices for project management, solution development, deployment, and maintenance
• Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
• Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
• Delivers engaging presentations and engages in both in‑person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
• Mitigates risk by identifying potential issues and developing controls
• Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

This Data Scientist I role will be a part of the ECATS Analytics & AI team which is responsible for assessing, designing, building, managing, and maintaining Artificial Intelligence Solutions for our Enterprise Credit and Banking teams. The role will be focused on data discovery, Artificial Intelligence(AI), Machine Learning(ML), and Natural Language Processing (NLP) efforts. Responsibilities include model/process development and assisting with AI/ML/NLP projects.

The Data Scientist I will perform impact assessments and data analysis, support prioritization and reporting of AI/ML/NLP projects, and engage with business and technical stakeholders. The scope of work includes assessing business cases, designing technical solutions and defining how data is managed or transformed and sourced across multiple upstream lines of business and within the Enterprise Credit data infrastructure. The primary requirement is to create sophisticated, value‑added analytics and solutions that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.

Traditional systems analysis skills are a plus.

• 2+ years of work experience in Analytics (Data or Business), Data Science, or related field.
• Proven ability in learning and strong programming (Python, SQL)…