Lead Data Engineer – Data Scientist

Wells Fargo

. Lead complex initiatives with broad impact and participate in large-scale software planning for Identity and Access Management .

Posted 9/17/2026full-timeCharlotte • North Carolina • United StatesSenior💰 $119,000 - $206,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Identity and Access Management, applying statistical and data science methods to solve complex business problems. Proficient in developing and deploying machine learning solutions while ensuring compliance with security and regulatory standards.

Highest-signal resume keywords

Database EngineeringPython Data Science LibrariesMachine Learning TechniquesAI/ML Solution DevelopmentStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Database EngineeringPythonPandasNumPyScikit-LearnTensorFlowPyTorchSQLStatistical AnalysisModel Evaluation Techniques

Soft Skills

Strong Communication SkillsPresentation SkillsAbility to Communicate Complex Concepts

Tools & Technologies

Vertex AIGCPBigQueryNeo4jGitHubPower BITableauAlteryxAI Coding AgentsAI-Assisted Development Tools

Industry Keywords

Identity and Access ManagementData ScienceMachine LearningStatistical TechniquesRegulatory Compliance

Tech Stack

Tools & technologies

BigQueryGoogle Cloud PlatformNeo4jNumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

Lead complex initiatives with broad impact and participate in large-scale software planning for Identity and Access Management
Design, develop, and run tooling to discover data and application problems and report issues to engineering and product leadership
Apply statistical and data science methods to Identity and Access Management business problems
Serve as a subject matter expert on machine learning, artificial intelligence, and mathematical and statistical techniques for large datasets
Design, support, and operate data pipelines, data models, dashboards, and API integrations for real-time and batch analytics
Design and conduct experiments, statistical analyses, and hypothesis testing for controls, policies, and operational processes
Build AI-powered capabilities to identify inappropriate access, recommend entitlements, and detect anomalous behavior across identity events
Lead IAM operations, onboarding, initiatives, engineering, line-of-business, and lines-of-defense teams to understand analytical needs and translate them into technical solutions
Establish and implement engineering and analytical best practices
Develop solutions according to security, privacy, model risk, and regulatory guidelines
Develop, test, deploy, and support ML-enabled analytical solutions and guide team adoption of AI/ML and statistical techniques
Monitor model health, reliability, and drift and ensure remediation
Use AI-assisted development and analysis tools to accelerate system design, coding, testing, analysis, and troubleshooting
Validate and integrate AI-assisted outputs while accounting for model limitations, security risks, and operational considerations
Apply AI responsibly in development and production in alignment with security, compliance, privacy, and ethical standards

Requirements

What you’ll need

5+ years of Database Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
5+ years of experience with Python data science libraries such as Pandas, NumPy, and Scikit-Learn, together with exposure to TensorFlow or PyTorch
Knowledge of Vertex AI, GCP environments, BigQuery, and deploying models into production on these platforms
Knowledge of graph networks for anomaly detection, including Neo4j
Knowledge of GitHub, Power BI, Tableau, and Alteryx
Understanding of software engineering fundamentals including testing, debugging, and code reviews
Knowledge of mathematical foundations of statistics, machine learning, and modern AI techniques
Strong understanding of model evaluation techniques for classification and clustering models
Comfort using AI coding agents such as GitHub Copilot, Claude Code, Cursor, or Devin, with ability to critically examine AI-generated code
Familiarity with LLMs, RAG, and AI agents
Strong SQL skills and ability to work with relational and analytical databases
Hands-on ability to manipulate data and tools to prototype and present solutions
Strong written and verbal communication and presentation skills
Ability to communicate complex technical concepts
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or related field
Position is not eligible for visa sponsorship

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards