Data Scientist I

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Data ScientistData

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Quick Summary

Key Responsibilities

This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies.

Technical Tools

Data ScientistData

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

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

Responsibilities

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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
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Applies agile practices for project management, solution development, deployment, and maintenance
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Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
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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
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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
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Mitigates risk by identifying potential issues and developing controls
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Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

The Data Science for Technology, Risk, and Operations (DSTRO) Innovations team leverages Artificial Intelligence, Large Language Models (LLMs), and advanced analytics to improve efficiency and effectiveness across Global Compliance and Operational Risk, Global Risk Analytics, and broader risk and technology domains. The team focuses on automation, model support and governance, and innovative solutions that enhance risk management and operational processes."

Requirements

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Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
1+ years of experience applying data science, machine learning, analytics, or automation techniques to solve business problems (including internships or equivalent experience where appropriate).
Strong analytical, problem-solving, and communication skills.
Ability to work effectively in a cross-functional environment and translate business requirements into technical solutions.
Experience managing multiple priorities and delivering quality work in a fast-paced environment.
Experience working in Agile delivery environments and using project management tools such as Jira.

Experience developing solutions using Python and SQL.
Experience with Large Language Models (LLMs) and associated frameworks and tools, including: (1) LangChain, (2) Model Context Protocol (MCP), (3) Retrieval Augmented Generation (RAG), (4) Vector databases, and (5) LangGraph
Experience with Git and modern software development practices.
Experience working with CI/CD pipelines and version control workflows.
Strong analytical, problem-solving, and communication skills.
Ability to work effectively in a collaborative, cross-functional environment

Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
Experience building GenAI applications, copilots, agents, or workflow automation solutions.
Familiarity with model governance, model risk management, or AI governance frameworks.
Experience working with REST APIs, microservices, and enterprise application integration.
Experience with software testing, code reviews, and development best practices.
Experience in financial services, risk management, compliance, audit, or operational processes.
Experience using modern AI development tools such as GitHub Copilot and VS Code