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1d ago

Lead Data Engineer - Data Scientist

Wells Fargo Columbus, OH

Columbus, OH

1d ago

$119k - $206k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

Lead Data Engineer in Cybersecurity within Identity Access Management at Wells Fargo, building intelligent access governance and production analytics.

Responsibilities

Lead complex initiatives with broad impact and contribute to large-scale software planning for Identity and Access management
Design, develop, and run tooling to discover problems in data and applications, then report findings to engineering and product leadership
Apply statistical and data science methods to business problems in Identity and Access Management
Act as a subject matter expert in ML and AI, including 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 use cases
Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals for controls, policies, and operational processes
Build AI-powered capabilities to identify inappropriate access, recommend entitlements before user requests, and detect anomalous behavior across millions of identity events
Lead IAM team members across operations, onboarding, initiatives, and engineering, plus line of business and lines of defense stakeholders to translate analytical needs into technical solutions
Establish and implement engineering and analytical best practices during solution development
Develop solutions in alignment with security, privacy, model risk, and regulatory guidelines
Develop, test, deploy, and support ML-enabled analytical solutions, and guide team adoption of ML, AI, and statistical techniques for IAM use cases
Monitor model health, reliability, and drift, and drive required remediation
Use AI-assisted development and analysis tools (for example GitHub Copilot and approved code-centric agents)
Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
Validate and integrate AI-assisted outputs using strong technical judgment, accounting for limitations, security risks, and operational considerations
Ensure responsible AI use in development and production environments, aligned to security, compliance, privacy, and ethical standards

Requirements

5+ years of database engineering experience (or equivalent through work experience, training, military experience, or education)
5+ years with Python data science libraries including Pandas, NumPy, and Scikit-Learn, plus exposure to a deep learning framework such as TensorFlow or PyTorch
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or related field

Technologies

Python, Pandas, NumPy, Scikit-Learn
TensorFlow, PyTorch
Vertex AI, GCP, BigQuery
Neo4j
GitHub, Power BI, Tableau, Alteryx
GitHub Copilot, Claude Code, Cursor, Devin
LLMs, RAG, AI agents

Benefits

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

Locations

300 S Brevard, Charlotte, North Carolina 28202
401 Las Colinas Blvd W Bldg. A - Irving, TX 75039
550 S 4th St. Minneapolis, MN 55415
3075 Loyalty Cir. - Columbus, Ohio 43219

Desired Qualifications

Knowledge of Vertex AI and GCP environments, BigQuery, and getting models into production on these platforms
Knowledge of graph networks for anomaly detection (Neo4j)
Learning mindset to stay current with developments in the field
Knowledge of GitHub for code management and experience with Power BI, Tableau, Alteryx
Understanding of software engineering fundamentals including testing, debugging, and code reviews is highly desirable
Knowledge of the mathematical foundations of statistics, machine learning, and modern AI techniques
Strong understanding of model evaluation techniques for classification and clustering, including metrics such as precision, accuracy, F1-scores, confusion matrices, and ROC curves
Comfort using AI coding agents like GitHub Copilot, Claude Code, Cursor, Devin (or others), with the ability to critically examine AI code for fitness for use
Familiarity with LLMs, RAG, and AI agents
Strong SQL skills and ability to work with relational and analytical databases
Strong book-of-work management and organizational skills
Hands-on ability to manipulate data and tools to prototype and present solutions
Confident, self-motivated producer of original ideas and solutions, with sound judgment for when to escalate issues
Strong written and verbal communication with excellent presentation skills
Ability to communicate complex technical concepts to colleagues and team members

Salary range: USD 119,000 - 206,000 per yearly

Posting end date: 22 Sep 2026

Posting Statements

Job posting may come down early due to volume of applicants
Required locations listed above; relocation assistance is not available for this position
Salary range is determined by location of the job; may be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards
This position is not eligible for visa sponsorship
This role is NOT eligible for 100% remote work

Additional Information

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo
Wells Fargo maintains a drug-free workplace; review the Drug and Alcohol Policy to learn more
Third-party recordings are prohibited unless authorized by Wells Fargo
Wells Fargo requires candidates to directly represent their own experiences during recruiting and hiring

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