About this opportunity
National Black MBA Association lists this Senior Data Scientist opportunity in charlotte, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Description
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!
Job Description
This job is responsible for coordinating, reviewing, and optimizing data analysis to create revenue generating opportunities, and overseeing the development of effective risk management strategies. Key responsibilities include working with lines of business to identify and diagnose problems, utilizing sophisticated analytics, and deploying advanced techniques to devise solutions, and clearly communicating recommendations based on findings. Job expectations include demonstrating leadership, influence, accountability, and a commitment to fostering responsible growth for the enterprise.
Position Summary
Lead design, development, and deployment of AI applications across multiple business domains
Own delivery accountability across planning, execution, testing, and production rollout
Design and implement AI-powered solutions , including: (LLMs, prompt engineering, RAG pipelines
Evaluate and adopt emerging AI technologies (e.g., Copilot, Foundry, open-source frameworks)
Python (FastAPI, data pipelines, AI/ML frameworks)
Cloud-native patterns (Azure/AWS/GCP)
Ensure system observability (logging, monitoring, alerting)
Responsibilities
Coordinates and reviews data collection, trend identification, and pattern recognition, using advanced techniques to drive decision making and identification of data driven insights
Contributes to the adoption of enterprise information products through communicating in a clear manner how enterprise information products answer material banking questions leading to decisions and actions
Applies agile practices for project management, solution development, deployment, and maintenance
Provides oversight and support of technical documentation, capturing the business requirements, and specifications related to the developed analytical solution, and implementation in production
Reviews work products to ensure adequate 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
Mitigates risk by identifying potential issues and developing controls
Possesses deep knowledge and subject-matter expertise of the latest advances in the fields of data science and artificial intelligence to support business analytics
Lead end-to-end delivery of AI and non-AI software solutions across multiple projects
Design and implement scalable architectures (microservices, cloud-native, event-driven)
Build and maintain backend systems using Java and Python
Develop and integrate AI solutions (LLMs, RAG, agents, ML pipelines) into enterprise platforms
Required Qualifications
10+ years of experience in software engineering and system design
Proven experience delivering large-scale enterprise applications and AI solutions
Technical Skills
Python (AI/ML, APIs, data engineering)
Hands‑on experience with:
AI/ML frameworks (OpenAI, Hugging Face, LangChain, etc.)
RAG pipelines, embeddings, vector databases
RESTful APIs, distributed systems
Architecture & Platform Skills
Microservices, APIs, event‑driven architectures
Cloud platforms (Azure preferred)
Containerization (Docker, Kubernetes)
AI/ML Knowledge
LLM-based applications and prompt engineering
Model lifecycle management (training, deployment, monitoring)
AI governance, risk, and explainability (preferred in regulated industries)
Soft Skills
Strong problem‑solving and analytical thinking
Excellent communication and stakeholder management
Ability to operate in a fast‑paced, ambiguous environment
Desired Qualifications
Experience in financial services or regulated industries
Exposure to Microsoft ecosystem (Copilot Studio, Foundry, Fabric)
Familiarity with agent orchestration, MCP, and AI platform integration patterns
Experience with data privacy, compliance, and secure AI deployments
Skills
Artificial Intelligence/Machine Learning
Business Acumen
Presentation Skills
Project Management
Technical Documentation
Candidate Screening
Data Visualization
Policies, Procedures, and Guidelines Management
Risk Management
Written Communications
Adaptability
Career Path Design
Consulting
Performance Management
Workforce Opportunity Management
Shift: 1st shift (United States of America)
Hours Per Week: 40
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Worksite address
charlotte, NC, 28245, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.