IT User and Entity Behavior Analyst at NikSoft Systems Corp
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

01 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Information Security, Machine Learning, Computer Science

Industry

Information Technology/IT

Description

NikSoft Systems Corporation is a recognized Information Technology solutions provider. Founded in 1998 and based in Reston, Virginia, NikSoft is a CMMI Level 3 Certified company with an established reputation for excellence and on-time delivery with a consistently high customer satisfaction rating from its Federal Government and private consulting contracts.
NikSoft is currently conducting a search for an IT User and Entity Behavior Analyst to support the cybersecurity team of a large federal agency. The candidate will experience an unparalleled enterprise environment with 100s of 1000s of personnel and 1000s of IT systems.

QUALIFICATIONS:

  • Bachelor’s degree in related fields like computer science or information security.
  • Experience in risk management, compliance, or a related field, with specific experience in AI or machine learning.
  • 3-5+ years of experience in AI concepts and technologies. This includes familiarity with machine learning algorithms, data processing, and AI system design.
  • Certifications focused on AI security, governance, and development.

How To Apply:

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Responsibilities
  • Strong analytical and problem-solving abilities. The ability to identify and assess potential behavioral risks in AI systems, analyze data, and develop effective mitigation strategies is crucial.
  • Proficiency in relevant tools. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms (like AWS), and programming languages (like Python) can be highly beneficial.
  • Strong analytical and communication skills are vital to effectively navigate the complexities of the AI evolving field.
  • Apply statistical modeling, machine learning, and data fusion techniques to diverse cybersecurity and organizational data.
  • Proficiency in languages like Java, C++, Python, and SQL.
  • Strong statistical and analytical foundation, including knowledge of anomaly detection, time-series analysis, and clustering techniques.
  • Knowledge & experience with API development and automation
  • Familiarity with cybersecurity data sources and insider threat indicators, especially UEBA, DLP, system logs, and identity data.
  • Problem-solving Skills and a knack for using data to address business challenges and identify opportunities for improvement.
  • Data visualization skills using tools like Tableau, Power BI, or Ploy for communicating insights to non-technical stakeholders.
  • Evaluate programs, disseminating findings, consulting and collaborating with others, and adhering to ethical standards.
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