Senior Data Scientist – Enterprise Credit

Bank of America

. Coordinate and review data collection, trend identification, and pattern recognition using advanced techniques .

Posted 10/27/2026full-timeUnited StatesSenior💰 $125,000 - $187,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science and Artificial Intelligence, with strong programming skills in Python and SQL. Capable of leading projects, mentoring junior team members, and applying advanced techniques in Natural Language Processing to drive business insights and decision-making.

Highest-signal resume keywords

Data Science ExpertisePython ProgrammingNatural Language Processing (NLP)Project Management SkillsStakeholder Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData AnalysisModel DeploymentNatural Language Processing (NLP)Machine Learning (ML)Data VisualizationQuantitative ModelingRisk MitigationTechnical Documentation

Soft Skills

Verbal CommunicationWritten CommunicationMentoringStakeholder ManagementProblem-Solving

Tools & Technologies

PandasNumPyScikit-learnSpaCyNLTKPyTorchTensorFlowLarge Language Models (LLMs)Agile PracticesModel Validation

Industry Keywords

Enterprise CreditData-Driven InsightsModel RiskBiasExplainabilityGovernanceFinancial EnvironmentsEmerging AI TechnologiesTrend IdentificationPattern Recognition

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Coordinate and review data collection, trend identification, and pattern recognition using advanced techniques
Drive decision-making and identification of data-driven insights
Support adoption of enterprise information products by communicating how they answer material banking questions
Apply agile practices for project management, solution development, deployment, and maintenance
Oversee technical documentation, business requirements, and specifications for analytical solutions and production implementation
Review quantitative models, data science products, data analysis reports, and data visualizations for quality and timeliness
Identify potential issues and develop controls to mitigate risk
Apply data science and artificial intelligence expertise to support business analytics
Evaluate proof of concepts for Enterprise Credit business cases using emerging AI technologies
Assess feasibility, scalability, value, and strategic alignment across the model portfolio
Support Bank policy for artificial intelligence models and mitigate associated risks
Mentor junior data scientists and analysts

Requirements

What you’ll need

5+ years of work experience in a Data Science role or related field
Strong programming skills in Python and SQL
Experience using data for business insight and building and deploying models
Project management skills, including prioritization, meeting deadlines, and completing high-profile projects
Ability to lead and influence stakeholders across multiple levels and organizations
Ability to identify and remediate risks
Strong verbal and written communication skills
General knowledge of Enterprise Credit businesses, processes, systems, and policies
Experience building and implementing Natural Language Processing (NLP) solutions from scratch
Experience with Python packages such as pandas, NumPy, scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or other advanced scientific/ML/NLP packages
Hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, or parameter-efficient adaptation such as LoRA or adapters
Strong understanding of modern NLP architectures, including transformers, embeddings, attention mechanisms, and vector similarity search
Experience operationalizing NLP/ML solutions, including model validation, monitoring, drift detection, and post-deployment improvement
Understanding of model risk, bias, explainability, and governance in regulated financial environments
Ability to document assumptions, limitations, and controls for NLP and generative AI solutions
Experience mentoring junior data scientists
Minimum Education Requirement: High School Diploma / GED / Secondary School or equivalent

Benefits

Comp & perks

Inclusive workplace and culture of caring
Support for physical, emotional, and financial wellness
Affordable, competitive, and flexible benefits
Opportunities to learn, grow, and build a career
Paid time off
Resources and support for employees
Annual discretionary incentive plan eligibility
In-office flexibility based on role-specific responsibilities and business needs