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Cybersecurity Engineer

Other Full-time Permanent Worldwide

Job details

$111,155 - $150,385 Salary
Worldwide Eligibility
Executive Experience
Full-time Employment

About this role

Role overview Develop advanced analytics to identify cybersecurity threats and fraud patterns in large, varied datasets. The role supports security operations by building AI and machine learning solutions, responding to stakeholder investigations, and turning analysis into practical recommendations for improving systems and processes.

Responsibilities - Use data science and AI/ML methods to detect threats and potential fraud across data from multiple sources. - Build, evaluate, and maintain analytical solutions using Python, SQL, R, and a cloud-based data platform. - Collect, combine, and analyze new data sources with teams across the organization to speed delivery of useful insights. - Respond to ad hoc investigations and explain complex findings to technical and business stakeholders. - Identify gaps in systems and processes, then recommend remediation to reduce security and fraud risks. - Guide specialist teams delivering analytics, business intelligence, and AI solutions across secure environments.

Requirements - Eight or more years of relevant experience and a bachelor’s degree in engineering, IT, security, or a related field; equivalent experience may qualify, with additional experience required in place of a relevant degree. - Expert knowledge of data science, AI/ML, and fraud detection, including solution design and delivery. - Strong experience with Python, SQL, R, and a cloud analytics platform such as Databricks. - Knowledge of data strategy and governance, model lifecycle management, analytics architecture, and secure technology implementation. - Ability to engage stakeholders, coordinate specialized teams, and deliver across multiple concurrent initiatives. - Ability to obtain and maintain a public trust clearance and meet the stated U.S. residency requirements.

Nice to have - Experience with Tableau, AWS, large language models, computer vision, or MLOps.

Benefits and work setup - Remote work is available, with listed office locations in North Carolina, Virginia, and Minnesota. - Benefits include a retirement plan with employer match, health and wellness coverage, paid vacation and holidays, and support for professional development and certifications.

Skills detected in the listing

PythonSQLTableauBusiness IntelligenceStakeholder ManagementInformation SecurityAWSAzure
Detected Nov 6, 2026
Last verified Nov 12, 2026

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