Join Wells Fargo to build data science and machine learning solutions in Cybersecurity within Identity Access Management. You will help improve access governance, detect anomalous behavior, and deliver real-time and batch analytics by designing and operating data pipelines and ML-enabled analytical capabilities. This onsite role in Columbus, Ohio combines technical depth with responsibility to follow security, privacy, model risk, and regulatory guidelines.
Compensation: USD 119,000 - 206,000 per yearly.
Location: Columbus, Ohio (onsite).
What you’ll do
- 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 issues 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 on ML and AI, applying 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.
- Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals supporting controls, policies, and operational processes.
- Build AI-powered capabilities that identify inappropriate access, recommend entitlements before requests, and detect anomalous behavior across millions of identity events.
- Lead IAM team members across operations, onboarding, initiatives, and engineering, and collaborate with line of business and lines of defense teams to translate analytical needs into technical solutions.
- Establish engineering and analytical best practices for solution development.
- Develop and support ML-enabled analytical solutions in alignment with security, privacy, model risk, and regulatory guidelines.
- Monitor model health, reliability, and drift, driving continuous improvement and required remediation.
- Use AI-assisted development and analysis tools (examples include GitHub Copilot and approved code-centric agents) and apply strong judgment when validating AI-assisted outputs for fitness for use.
- Apply responsible AI practices in development and production environments, accounting for model limitations, security risks, and operational considerations.
Required experience
- 5+ years of Database Engineering experience, or equivalent through 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.
Technology areas you’ll work with
- 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
Desired qualifications
- Knowledge of Vertex AI and GCP environments, including BigQuery and getting models into production on these platforms.
- Knowledge of graph networks for anomaly detection (Neo4j).
- Learning mindset with comfort keeping up-to-date with developments in the field.
- Knowledge of GitHub for code management, plus Power BI, Tableau, and Alteryx.
- Understanding 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, especially for classification and clustering models, including precision, accuracy, F1-scores, confusion matrices, and ROC curves.
- High comfort using AI coding agents such as 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 and self-motivated producer of original ideas and solutions, with judgment for when to escalate issues.
- Strong written and verbal communication skills and excellent presentation abilities.
- 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 related field.
Posting statements: Job posting may come down early due to volume of applicants. Required location(s) are listed above; relocation assistance is not available. Salary range is determined by location and may be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards. This position is not eligible for visa sponsorship and is NOT eligible for 100% remote work.
Posting end date: 22 Sep 2026.
