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Lead Data Engineer - Data Scientist

Wells Fargo Columbus, OH

Columbus, OH

Today

$119k - $206k/yr Full time Backend Developer Manager Analytics

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Job Description

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.

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