Cybersecurity Engineer

General Dynamics Information Technology•USA VA Home Office (VAHOME), VA
•$111,155 - $150,385•Remote

About The Position

GDIT is seeking a Cybersecurity Engineer to support the United States Postal Service (USPS) Chief Information Security Officer (CISO) Operations organization. The role applies advanced AI/ML analytic approaches to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes. The engineer develops analytic solutions using Databricks, Python, SQL, and R to create, interpret, visualize, and report complex data to stakeholders at all levels. The position also responds to ad hoc stakeholder requests and works 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. The role highlights and analyzes gaps in USPS systems and processes and recommends remediation solutions to deter cybersecurity threats and fraudulent activity. The role involves designing AI-powered solutions that integrate large language models, computer vision, and advanced analytics into secure, high-performing environments. It also includes directing specialized teams of data scientists, data engineers, and business intelligence specialists, and managing delivery across multiple engagements in areas including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, AI, risk management, and product development. The position is remote, with a U.S. residency requirement for the USPS security clearance process. The selected candidate must be able to obtain and maintain a Public Trust clearance and pass a government background screening process, including detailed forms and fingerprinting. The role is scheduled for 40 hours per week, with less than 10% travel required.

Requirements

  • At least 8 years of relevant experience.
  • Expertise in data science and AI/ML concepts used for fraud detection.
  • Demonstrated expertise in AI/ML solution development, data science practice, data strategy and governance, and customer and stakeholder engagement, developed through extensive client work delivering solutions.
  • Ability to design AI-powered solutions integrating large language models, computer vision, and advanced analytics into secure, high-performing environments.
  • Ability to direct specialized teams comprising data scientists, data engineers, and business intelligence specialists.
  • Expert-level knowledge of AI/ML 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.
  • Advanced skill applying AI/ML tools to accelerate business activities, including programming and script development.
  • Bachelor’s degree in engineering or another IT/security-related major, or equivalent experience. If the candidate does not have a relevant college degree, an additional 4 years of relevant work experience is required.
  • Ability to obtain and maintain a Public Trust clearance and successfully pass a thorough government background screening, including detailed forms and fingerprinting.
  • Meet the USPS U.S. residency requirement: candidates must have resided in the U.S. (including U.S. Territories) for the last five years. U.S. citizens must not have left the U.S. for longer than 6 consecutive months in the last 3 years, subject to exceptions; non-U.S. citizens must not have left the U.S. for longer than 90 consecutive days in the last 3 years.

Responsibilities

  • Apply AI/ML analytic approaches to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes.
  • Use Databricks, Python, SQL, and R to develop analytic solutions and create, interpret, visualize, and report complex data to stakeholders.
  • 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 deter cybersecurity threats and fraudulent activity.
  • Design AI-powered solutions integrating large language models, computer vision, and advanced analytics into secure, high-performing environments.
  • Direct specialized teams of data scientists, data engineers, and business intelligence specialists delivering AI and advanced technology solutions.
  • Manage delivery across multiple engagements, including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, AI, risk management, and product development.
  • Apply AI/ML tools to accelerate business activities, including programming and script development.

Benefits

  • 401(k) with company match.
  • Comprehensive health and wellness packages, including medical plan options, some with Health Savings Accounts, dental plans, and vision plans.
  • Internal mobility team and professional growth opportunities, including paid education and certifications.
  • Paid vacation, sick and personal time, and holidays; typically 15 days of paid leave per calendar year and 10 paid holidays, prorated based on hire date.
  • Paid parental leave, including up to 160 hours in a rolling 12-month period for eligible employees.
  • Full flex work weeks where possible.
  • Short- and long-term disability benefits, life insurance, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
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