Job description

Responsibilities Program Description: The program provides Systems Engineering and Technical Assistance (SETA) core and non-core support in the areas of Cyber Security and Management to improve the Information Assurance (IA) posture of a National customer. The contracts Core Capabilities are: IA Management, Federal Information Security Management Act (FISMA) coordination and reporting, Risk Management Framework (RMF) application, IA compliance measurements and metrics, Assessment and Authorization (A&A), Vulnerability Management, and Cyber Defense support. Position Description: The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: • Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets. • Develop data-driven solutions. • Analyze data sets found in the customer's vulnerability scanning, auditing, authorization, and configuration management tools. • Import, transform, analyze, and visualize data and report actionable insights to the customer (e.g., Tableau). • Provide analysis and graphical presentations of collected metrics for IA compliance status reporting. • Support and evolve legacy visualization and situational awareness tools based on Microsoft Excel into modern data-driven solutions. • Collaborate with Risk Management teams to develop means to integrate, automate, and provide dynamic visualization capabilities for risk management efforts. Cyber Data Scientist, I10, SSDSEI10 Qualifications Required: • Must possess and be able to maintain a TS/SCI with Poly • Requires 10-12 years with BS/BA, or 8-10 years with MS/MA, or 5-7 years with PhD • Able to support customer’s core hours (0900-1500; Mon – Fri) • Must possess DoD 8570 certification in IAT or IAM (or able to attain within 6 months of contract start) • Deep understanding of statistics and analysis • Skilled in artificial intelligence and machine learning (e.g., SageMaker) • Ability to code in multiple languages, including Python • Knowledge of databases, data structures, and data architectures • Excellent communications skills – both verbal and non-verbal • Office Automation Skills – MS Office, MS Project, Visio • Self-starter requiring limited direction and supervision • Strong attention to detail • Ability to work in a team environment • Experience with data visualization tools (e.g., Tableau, Infogram, Chartbloks) • Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.) • Experience applying statistical analysis to large data sets Desired: • Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics (STEM) • Experience applying AI/ML to security problems (anomaly detection, threat hunting) • Knowledge of adversarial machine learning techniques • Model development for security use cases (user behavior analytics, network traffic analysis) • Experience with security-focused data pipelines and feature engineering • Understanding of AI explainability and model interpretability in security contexts • Experience briefing senior customer personnel • Ability to organize and prioritize numerous customer requests in a fast-paced deadline driven environment • Familiarity with Amazon Web Services (AWS) • Familiarity with customer's IA processes • Experience with ServiceNow and Splunk • Experience supporting IC or DoD in the Cyber Security Domain • Familiarity with the RMF process • Experience with Relational Database Management System (RDMS) • Experience with Amazon Elastic MapReduce (EMR) and SageMaker Equal Pay Act This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $136,889.31 Max: $238,023.95 EEO Statement We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

Requirements

Must-haves

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to:
Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets.
Develop data-driven solutions.
Analyze data sets found in the customer's vulnerability scanning, auditing, authorization, and configuration management tools.
Import, transform, analyze, and visualize data and report actionable insights to the customer (e.g., Tableau).
Provide analysis and graphical presentations of collected metrics for IA compliance status reporting.
Support and evolve legacy visualization and situational awareness tools based on Microsoft Excel into modern data-driven solutions.
Collaborate with Risk Management teams to develop means to integrate, automate, and provide dynamic visualization capabilities for risk management efforts.
Cyber Data Scientist, I10, SSDSEI10
Must possess and be able to maintain a TS/SCI with Poly
Requires 10-12 years with BS/BA, or 8-10 years with MS/MA, or 5-7 years with PhD
Able to support customer’s core hours (0900-1500; Mon – Fri)

Nice-to-haves

Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying AI/ML to security problems (anomaly detection, threat hunting)
Knowledge of adversarial machine learning techniques
Model development for security use cases (user behavior analytics, network traffic analysis)
Experience with security-focused data pipelines and feature engineering
Understanding of AI explainability and model interpretability in security contexts
Experience briefing senior customer personnel
Ability to organize and prioritize numerous customer requests in a fast-paced deadline driven environment
Familiarity with Amazon Web Services (AWS)
Familiarity with customer's IA processes
Experience with ServiceNow and Splunk
Experience supporting IC or DoD in the Cyber Security Domain

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonaimlaws

Platform: jibe
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Vision

Paid Time Off

Wellness