Lead Data Engineer - Data Scientist

Lead data engineering efforts in Cybersecurity within Identity Access Management, building data science and ML-powered solutions for access governance and anomaly detection.

Responsibilities

• Lead complex initiatives with broad impact and participate in large-scale software planning for Identity and Access Management (IAM).
• 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 IAM business problems.
• Act as a subject matter expert on ML, AI, and mathematical and statistical techniques applied 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.
• Build AI-powered capabilities to identify inappropriate access, recommend entitlements before users request them, 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 teams, to translate analytical needs into technical solutions.
• Establish and implement engineering and analytical best practices for 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 teammates on ML, AI, and statistical techniques to drive AI/ML adoption across IAM.
• Monitor model health, reliability, and drift and help ensure continuous improvement and required remediation.
• Use AI-assisted development and analysis tools (including GitHub Copilot and approved code-centric agents) to accelerate system design, coding, testing, analysis, and troubleshooting.
• Validate and integrate AI-assisted outputs with strong technical judgment, accounting for model limitations, security risks, and operational considerations.
• Apply AI responsibly in development and production, ensuring alignment with security, compliance, privacy, and ethical standards.

Requirements

• 5+ years of Database Engineering experience, or equivalent demonstrated through one or 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.

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

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 using Neo4j.
• A learning mindset to keep up to date with developments in the field.
• Knowledge of GitHub for code management and familiarity with Power BI, Tableau, and Alteryx.
• Understanding of software engineering fundamentals including testing, debugging, and code reviews is highly desirable.
• Knowledge of 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 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 sound judgment for when to escalate issues.
• Strong written and verbal communicator with excellent presentation skills, including ability to communicate complex technical concepts.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or a related field.

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

Location and Work Mode

• Columbus, Ohio (onsite)
• 3075 Loyalty Cir. - Columbus, Ohio 43219

Compensation

• Salary range: $119,000 - $206,000 per year (range determined by location)
• May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards

Posting Statements

• 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.
• Role is not eligible for 100% remote work.
• Posting end date: 22 Sep 2026.