Lead Data Engineer - Data Scientist

Lead data engineering and AI/ML delivery for Identity and Access Management in Cybersecurity, focusing on access governance and anomaly detection for identity events.

Responsibilities

• Lead complex initiatives with broad impact and contribute as a key participant in large scale software planning for Identity and Access management
• Design, develop, and run tooling to discover problems in data and applications and report findings to engineering and product leadership
• Apply statistical and data science methods to Identity and Access Management business problems
• 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 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 other IAM team members, including operations, onboarding, initiatives, and engineering teams, plus line of business and lines of defense teams, to translate analytical needs into technical solutions
• Establish and implement engineering and analytical best practices when developing solutions
• 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 adoption of ML, AI, and statistical techniques
• Assist with monitoring model health, reliability, and drift, including required remediation
• Use AI-assisted development and analysis tools (for example, GitHub Copilot and approved code-centric agents)
• Use AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Validate and integrate AI-assisted outputs with strong technical judgment
• Account for model limitations, security risks, and operational considerations
• Apply AI responsibly in development and production environments, 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, and 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

Desired Qualifications

• Knowledge of Vertex AI and GCP environments, including getting models into production on these platforms
• Knowledge of graph networks for anomaly detection (Neo4j)
• A learning mindset to keep up-to-date 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 precision, accuracy, F1-scores, confusion matrices, and ROC curves
• High comfort with AI coding agents such as GitHub Copilot, Claude Code, Cursor, Devin (or others), with ability to critically examine AI code for fitness for use
• Familiarity with LLMs, RAG, and AI agents
• Strong SQL skills with ability to work with relational and analytical databases
• Strong organization and book-of-work management 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 skills with excellent presentation skills
• 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

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

• Irving, TX (onsite)

Other Location Options Listed

• 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

Compensation

• Salary range: $119,000.00 - $206,000.00 per year

Posting Statements

• Job posting may come down early due to volume of applicants
• Required location(s) 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

Posting end date: 22 Sep 2026