Data Scientist I

Bank of America•Atlanta, GA

3d•Onsite

About The Position

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! 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.

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
1+ years of related work experience
Good, applied statistics skills, such as distributions, statistical testing, feature engineering
Understanding and applied knowledge of Artificial Intelligence and machine learning modelling techniques
Excellent understanding of how Artificial Intelligence is used and governed a large regulated US financial institutions
Technical writing skills
Demonstrated ability to foster an innovative culture while effectively interacting with, influencing, and communicating with senior business leaders.
Strong track record of challenging the status quo, identifying opportunities for improvement, and driving organizational change.
Knowledge of AI and model governance frameworks within large, complex organizations.
Excellent interpersonal skills with the ability to build credibility and collaborate effectively across all levels of the organization.
Strong verbal and written communication skills, with the demonstrated ability to build trusted relationships and influence diverse stakeholders.
Ability to translate complex analytical concepts and technical findings into clear, actionable business recommendations for technical and non-technical audiences.

Nice To Haves

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

Responsibilities

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
Support AI and model development activities that address key business challenges throughout the full product lifecycle, from ideation through retirement, across multiple lines of business (LOBs) at Bank of America.
Work directly with senior model owners, developers, and users across these LOBs.
Focus on streamlining manual processes, improving decision-making, and delivering measurable ROI through scalable, compliant, and integrated solutions.
Provide cross-functional insights and identify opportunities to leverage existing AI technologies, models, and methodologies across the bank to avoid duplication, promote reuse, and share best practices.
Directly support Bank of America's Enterprise AI Catalyst program and contribute to the company's AI enablement strategy.