Cybersecurity Engineer

Castalia Systems

$108K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS degree and 8+ years of experience in a relevant field.
  • Expert in data science and AI/ML for fraud detection.
  • Proven ability to design AI-powered solutions with advanced analytics.
  • Experience directing teams of data scientists and engineers.
  • Proficient in managing multiple engagements in technology and analytics sectors.
  • Advanced skills in programming and developing AI/ML tools.

Responsibilities

  • Respond to stakeholder requests to investigate cybersecurity concerns.
  • Analyze and aggregate new data sources across business units.
  • Identify gaps in systems/processes and recommend solutions to mitigate threats.
  • Develop analytic solutions using Python, SQL, and R for data interpretation.
  • Visualize and report on data insights for varied stakeholders.

Benefits

  • Medical, dental, and vision insurance.
  • 401k matching program.
  • Generous paid time off (PTO) and holidays.
  • Professional training opportunities for career advancement.
  • Pet insurance for employee's furry companions.
Full Job Description
Job Type: Full- Time

Workplace Type: Remote in the areas of Morrisville, NC or Falls Church, VA

Clearance: TS/SCI

Must be a U.S. Citizen

Benefits: Medical, dental, and vision coverage, 401k matching, generous PTO, paid holidays, professional training opportunities, and even pet insurance to ensure your furry friends are cared for too.

Job Summary

Castalia Systems is seeking a Cybersecurity Engineer to support our Intelligence Client's mission sets. As a cybersecurity engineer you will apply expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization. You will leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels.

Roles and Responsibilities

A qualified candidate will perform the following duties and responsibilities, but are not limited to:
  • Respond to ad hoc requests from stakeholders to investigate concerns.
  • Responsible for working across business units to identify, collect, aggregate, analyze new data sources, and advance the team's mission and reduce the time needed to deliver analytical insights.
  • Responsible for highlighting and analyzing gaps in USPS systems and processes, as well as recommending remediation solutions to more effectively deter cybersecurity threats and fraudulent activity.

Required Qualifications:
  • BS degree and 8+ years of experience.
  • Applicant must be an expert with 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 • all developed over many years of 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 of data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments.
  • Manages delivery across multiple engagements including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance (Python, SQL, Tableau, AWS).
  • Advanced skills applying AI/ML tools to accelerate business activities including but not limited to programming and script development.
  • 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
    • Python, SQL, R Development

Physical Requirements/Work Environment
  • Normal Office environment

Travel
  • As needed

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