Lead Data Engineer - Data Scientist

The Lead Data Engineer in Cybersecurity within Identity Access Management will help build intelligent access governance capabilities using statistical methods, machine learning, and production data pipelines. The role focuses on anomaly detection, entitlement automation, and real-time and batch analytics while adhering to security, privacy, model risk, and regulatory requirements.

Key Responsibilities

• Lead complex initiatives with broad impact, participating in large-scale software planning for Identity and Access management.
• Design, develop, and operate tooling to identify issues in data and applications, and report findings to engineering and product leadership.
• Use statistical and data science methods to address business problems related to Identity and Access Management.
• Act as a subject matter expert on ML and AI, including the application of mathematical and statistical techniques to 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 supporting controls, policies, and operational processes.
• Develop AI-powered capabilities that identify inappropriate access, recommend entitlements before user requests, and detect anomalous behavior across millions of identity events.
• Lead IAM team members and collaborate across operations, onboarding, initiatives, engineering, and line-of-business and line-of-defense teams to translate analytical needs into technical solutions.
• Establish and apply engineering and analytical best practices for solution development.
• Develop solutions in alignment with established security, privacy, model risk, and regulatory guidelines.
• Develop, test, deploy, and support ML-enabled analytical solutions, and guide team members on ML, AI, and statistical techniques to drive AI/ML adoption across IAM.
• Support monitoring of model health, reliability, and drift to enable continuous improvement and required remediation.
• Demonstrate proficiency using AI-assisted development and analysis tools (for example, GitHub Copilot and approved code-centric agents), and apply AI to accelerate system design, coding, testing, analysis, and troubleshooting.
• Use technical judgment to validate and integrate AI-assisted outputs into production solutions, while accounting for model limitations, security risks, and operational considerations.
• Apply AI responsibly across development and production environments, ensuring alignment with security, compliance, privacy, and ethical standards.

Required Qualifications

• 5+ years of Database Engineering experience, or equivalent demonstrated through a combination of work experience, training, military experience, or education.
• 5+ years of experience with Python data science libraries including Pandas, NumPy, and Scikit-Learn, plus exposure to a deep learning framework such as TensorFlow or PyTorch.

Preferred / Desired Qualifications

• Knowledge of Vertex AI and GCP environments, BigQuery, and deploying models into production on these platforms.
• Knowledge of graph networks for anomaly detection, including Neo4j.
• A learning mindset with the ability to keep up with developments in the field.
• Knowledge of GitHub for code management and experience with Power BI, Tableau, and Alteryx.
• Understanding of software engineering fundamentals such as 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 precision, accuracy, F1-scores, confusion matrices, and ROC curves.
• High comfort level using AI coding agents such as GitHub Copilot, Claude Code, Cursor, Devin, or others, including the ability to critically review AI-generated 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 organization and execution skills for managing work effectively.
• Hands-on ability to manipulate data and tools to prototype and present solutions.
• Confident and self-motivated approach to generating original ideas and solutions, with sound judgment for escalation when needed.
• Strong written and verbal communication skills with excellent presentation capabilities.
• Ability to communicate complex technical concepts to colleagues and team members.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or a 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

Location and Work Arrangement

• Onsite: Columbus, OH (3075 Loyalty Cir. - Columbus, Ohio 43219)

Compensation

Salary range: USD 119,000 - 206,000 per year. Salary range is determined by the location of the job. May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards.

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

Additional Posting Information

• Job posting may come down early due to volume of applicants.
• Required location(s) listed above; relocation assistance is not available.
• Not eligible for visa sponsorship.
• This role is not eligible for 100% remote work.
• Posting end date: 22 Sep 2026.
• To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
• Wells Fargo maintains a drug-free workplace; refer to the Drug and Alcohol Policy for details.
• Third-party recordings are prohibited unless authorized by Wells Fargo.
• During recruiting and hiring, you must directly represent your own experiences.