Lead Data Engineer - Data Scientist

Lead data engineering and AI/ML delivery in Cybersecurity within Identity Access Management, turning identity event analytics into safer access governance and anomaly detection.

Responsibilities

• Lead complex initiatives with broad impact; contribute as a key participant in large scale software planning for Identity and Access Management
• Design, develop, and run tooling to discover issues in data and applications; escalate 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, 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
• Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals supporting controls, policies, and operational processes
• Build AI capabilities to identify inappropriate access, recommend entitlements prior to user requests, and detect anomalous behavior across millions of identity events
• Lead IAM team members and coordinate with operations, onboarding, initiatives, engineering teams, and lines of business and lines of defense 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; guide teammates in ML, AI, and statistical techniques to drive AI/ML adoption across IAM
• Assist with monitoring model health, reliability, and drift to enable continuous improvement and required remediation
• Demonstrate proficiency with AI-assisted development and analysis tools, including GitHub Copilot and approved code-centric agents
• Use AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Validate and integrate AI-assisted outputs using strong technical judgment, accounting 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 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

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, BigQuery, and deploying models into production on these platforms
• Knowledge of graph networks for anomaly detection (Neo4j)
• Learning mindset to stay current with developments in the field
• Knowledge of GitHub for code management and familiarity with Power BI, Tableau, and Alteryx
• Understanding of software engineering fundamentals such as testing, debugging, and code reviews (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
• Comfort with AI coding agents (GitHub Copilot, Claude Code, Cursor, Devin or others) and 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, self-motivated producer of original ideas and solutions with sound judgment for when to escalate issues
• Strong written and verbal communication and excellent presentation skills, including ability to communicate complex technical concepts
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or related field

Location and Work Model

• Irving, TX (onsite)

Compensation

• Salary range: $119,000 - $206,000 per year

Posting Notes

• Job posting may come down early due to volume of applicants
• Required location(s) listed; relocation assistance is not available
• Salary range is determined by location of the job; may be considered for discretionary bonus, Restricted Share Rights, or other long-term incentive awards
• Not eligible for visa sponsorship
• Role is not eligible for 100% remote work

Posting end date: 22 Sep 2026