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General Dynamics Information Technology

Builds and runs technology for government agencies

Cybersecurity Engineer

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in engineering or an information technology/security-related major, or equivalent experience, is required. Candidates without a relevant college degree need four additional years of relevant work experience.
  • At least eight years of relevant experience is required.
  • Expertise in data science and artificial intelligence/machine learning concepts for fraud detection is required, including solution development, data science practice, data strategy and governance, and customer and stakeholder engagement developed through client work delivering solutions.
  • Ability to design AI-powered solutions that integrate large language models, computer vision, and advanced analytics into secure, high-performing environments is required.
  • Advanced skills applying AI/machine-learning tools to accelerate business activities, including programming and script development, are required.
  • Expert-level knowledge of AI/machine-learning solution architecture, data science and advanced analytics, technology strategy and implementation, data strategy and governance, MLOps and model lifecycle management, Azure Databricks, and Python, SQL, and R development is required.
  • Ability to obtain and maintain a Public Trust clearance and pass government background screening, including detailed forms and fingerprinting, is required.
  • Candidates must meet the U.S. residency requirement for the USPS security clearance process: residence in the U.S. (including U.S. territories) for the last five years, with U.S. citizens subject to the specified limit on consecutive time outside the U.S. during the last three years and non-U.S. citizens subject to the specified 90-day limit.

Responsibilities

  • Apply expert-level AI/machine-learning analytic approaches to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization.
  • Use Databricks, Python, SQL, and R to develop analytic solutions that create, interpret, visualize, and report on complex data for stakeholders at all levels.
  • Respond to ad hoc stakeholder requests to investigate concerns.
  • Work across business units to identify, collect, aggregate, and analyze new data sources, advance the team's mission, and reduce the time needed to deliver analytical insights.
  • Identify and analyze gaps in USPS systems and processes, and recommend remediation solutions to better deter cybersecurity threats and fraudulent activity.
  • Direct specialized teams of data scientists, data engineers, and business intelligence specialists in delivering AI and advanced technology solutions across secure environments.
  • Manage delivery across engagements involving business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance, using Python, SQL, Tableau, and AWS.

About the Company

General Dynamics Information Technology

Builds and runs technology for government agencies

GDIT builds and runs technology systems for U.S. government agencies, including defense, intelligence and civilian organizations. Its work spans cloud infrastructure, cybersecurity and software development, with tools tailored to sensitive missions and large agency operations. The company combines its own reusable technology solutions with commercial products, then earns revenue through contracts to design, integrate, modernize and operate customer systems, including support for both classified and unclassified networks. It also supplies technical expertise and daily operational support, and is a business unit of General Dynamics headquartered in Falls Church, Virginia.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Falls Church, VA
Founded
1999

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