Career Opportunities

• Experience in computer science (theoretical or applied), including algorithm development and analytic problem solving
• Strong foundation in mathematics and computational methods
• Experience designing, developing, and evaluating models, methods, and/or techniques to solve complex problems
• Exposure to areas such as high performance computing, engineering (electrical or computer), or applied mathematics
• Strong analytical and discovery-oriented mindset

Level 2:

• A Bachelor’s degree with 5 years of relevant experience, OR
• A Master’s degree with 3 years of relevant experience, OR
• A Doctoral degree with 2 years of relevant experience, OR
• An Associate’s degree with 7 years of clearly related experience
• Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math), or related field
• Must include at least one programming course and four upper-level math courses (Calculus and above)

Level 3:

• A Bachelor’s degree with 8 years of relevant experience, OR
• A Master’s degree with 6 years of relevant experience, OR
• A Doctoral degree with 4 years of relevant experience, OR
• An Associate’s degree with 10 years of clearly related experience
• Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math), or related field
• Must include at least one programming course and four upper-level math courses (Calculus and above)

Level 4:

• A Bachelor’s degree with 11 years of relevant experience, OR
• A Master’s degree with 9 years of relevant experience, OR
• A Doctoral degree with 7 years of relevant experience, OR
• An Associate’s degree with 13 years of clearly related experience
• Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math), or related field
• Must include at least one programming course and four upper-level math courses (Calculus and above)
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Experience with Python, Spark, and working with large-scale data.
• Must have a strong background in network protocol analysis.
• The ideal candidate will be inquisitive and have a discovery-focused mindset.
• Level 2:
  • 5 years of relevant experience in the following areas: computer system research, simulation/ model development and prototyping, software design, programming, computational science, algorithm analysis, design, and reverse engineering/ designing/ developing to include hardware and/ or software.
  • A Bachelor’s degree in Computer Science or related fields such as (Engineering, Mathematics, Information Technology, or Information Systems), only if the following foundational Computer Science areas are met: algorithms, computer architecture, programming methodologies, data structures, logic and computation, and advanced mathematics.
• Level 3:
  • 8 years of relevant experience in the following areas: computer system research, simulation/ model development and prototyping, software design, programming, computational science, algorithm analysis, design, and reverse engineering/ designing/ developing to include hardware and/ or software.
  • A Bachelor’s degree in Computer Science or related fields such as (Engineering, Mathematics, Information Technology, or Information Systems), only if the following foundational Computer Science areas are met: algorithms, computer architecture, programming methodologies, data structures, logic and computation, and advanced mathematics.
• Level 4:
  • 11 years of relevant experience in the following areas: computer system research, simulation/ model development and prototyping, software design, programming, computational science, algorithm analysis, design, and reverse engineering/ designing/ developing to include hardware and/ or software.
  • A Bachelor’s degree in Computer Science or related fields such as (Engineering, Mathematics, Information Technology, or Information Systems), only if the following foundational Computer Science areas are met: algorithms, computer architecture, programming methodologies, data structures, logic and computation, and advanced mathematics.

• A current government clearance, background investigation, and polygraph are required.

• Experience supporting cyber, intelligence, or collection mission areas
• Experience with strategic and/or operational planning (e.g., joint operations)
• Ability to collaborate across teams and external stakeholders
• Strong organizational and communication skills
• Experience supporting IC or DoD mission environments preferred

Level 1:

• A High School diploma/GED with 6 years of relevant experience, OR
• An Associate’s degree with 4 years of relevant experience, OR
• A Bachelor’s degree with no experience required
• Degree in Cybersecurity, Information Assurance, or related field preferred (degree in any field acceptable)

Level 2:

• A High School diploma/GED with 9 years of relevant experience, OR
• An Associate’s degree with 7 years of relevant experience, OR
• A Bachelor’s degree with 5 years of relevant experience, OR
• A Master’s degree with 3 years of relevant experience, OR
• A Doctoral degree with 2 years of relevant experience
• Degree in Cybersecurity, Information Assurance, or related field preferred (degree in any field acceptable)

Level 3:

• A High School diploma/GED with 12 years of relevant experience, OR
• An Associate’s degree with 10 years of relevant experience, OR
• A Bachelor’s degree with 8 years of relevant experience, OR
• A Master’s degree with 6 years of relevant experience, OR
• A Doctoral degree with 4 years of relevant experience
• Degree in Cybersecurity, Information Assurance, or related field preferred (degree in any field acceptable)

Level 4:

• A High School diploma/GED with 15 years of relevant experience, OR
• An Associate’s degree with 13 years of relevant experience, OR
• A Bachelor’s degree with 11 years of relevant experience, OR
• A Master’s degree with 9 years of relevant experience, OR
• A Doctoral degree with 7 years of relevant experience
• Degree in Cybersecurity, Information Assurance, or related field preferred (degree in any field acceptable)
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Perform advanced manual threat hunting
• Conduct PCAP and packet-level analysis
• Perform network traffic, protocol, and netflow analysis
• Analyze malicious activity and identify exploited weaknesses
• Correlate enterprise security events for situational awareness
• Understand IDS/IPS tuning and Snort filters
• Identify Command and Control (C2) indicators
• Detect host- and network-based intrusions

• Four (4) years of demonstrated experience as a Cyber Defense Analyst in programs and contracts of similar scope, type, and complexity is required. A technical bachelor’s degree from an accredited college or university may be substituted for two (2) years of CDA experience.
• 1 year TCP/IP fundamentals
• 1 year experience with network traffic analysis tools (e.g., Wireshark, tcpdump)
• 2 years SIEM experience (e.g., Splunk, ArcSight, Kibana)
• 2 years network and threat analysis experience
• Splunk “Fundamentals I” course completion
• DoD 8570 CSSP Analyst baseline certification
• DoD 8570 IAT Level I or II
• CE certification
• 2 years maintaining or managing cloud environments (Azure, AWS)
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Use cyber defense tools to monitor, detect, analyze, categorize, and perform initial triage of anomalous activity. 
• Generate cybersecurity cases (including event’s history, status, and potential impact for further action) and route as appropriate. 
• Perform advanced manual analysis to hunt previously unidentified threats. 
• Identify cyber-attack phases based on knowledge of common attack vectors and network layers, models and protocols. 
• Apply techniques for detecting host- and network-based intrusions. 
• Analyze malicious activity to determine weaknesses exploited, exploitation methods, effects on system and information. 
• Perform event correlation using information gathered from a variety of sources within the enterprise to gain situational awareness and determine the effectiveness of an observed attack. 
• Possess deep knowledge of active directory abuse used by attackers for lateral movement and persistence. 
• Perform after-action reviews of team products to ensure completion of analysis. 
• Lead and mentor team members as a technical expert. 

• Eight (8) years of demonstrated experience as a CDA in programs and contracts of similar scope, type, and complexity.
• A technical bachelor’s degree from an accredited college or university may be substituted for two (2) years of CDA experience.
• Two (2) years of demonstrated and practical experience in TCP/IP fundamentals. 
• Two (2) years of demonstrated experience with tcpdump or Wireshark.
• Three (3) years of demonstrated experience using security information and event management suites (such as Splunk, ArcSight, Kibana, LogRhythm).
• Three (3) years of demonstrated experience in network analysis and threat analysis software utilization.
• CSSP Analyst baseline certification (e.g., CEH, CySA+, CFR, etc.)
• IAT Level I or II certification
• Computing Environment (CE) certification for supported systems
• Global Information Assurances Certificate (GIAC) OR Global Certified Incident Handler (GCIH)

• A current government clearance, background investigation, and polygraph are required. 

• Threat Detection and Response: Utilize EDR tools to monitor for suspicious activity, such as ransomware, and perform automated or manual actions to isolate threats. 
• Log Analysis and Monitoring: Review endpoint logs and security event to identify anomalous activity 
• Perform advanced manual threat hunting
• Conduct PCAP and packet-level analysis
• Perform network traffic, protocol, and netflow analysis
• Analyze malicious activity and identify exploited weaknesses
• Correlate enterprise security events for situational awareness
• Understand IDS/IPS tuning and Snort filters
• Identify Command and Control (C2) indicators
• Detect host- and network-based intrusions

• Four (4) years of demonstrated experience as a Cyber Defense Analyst in programs and contracts of similar scope, type, and complexity is required. A technical bachelor’s degree from an accredited college or university may be substituted for two (2) years of CDA experience.
• Must have strong ability to investigate, triage alerts, and think critically. 
• Must have strong Windows background 
• 1 year TCP/IP fundamentals
• 1 year experience with network traffic analysis tools (e.g., Wireshark, tcpdump)
• 2 years SIEM experience (e.g., Splunk, ArcSight, Kibana)
• 2 years network and threat analysis experience
• Splunk “Fundamentals I” course completion
• DoD 8570 CSSP Analyst baseline certification
• DoD 8570 IAT Level I or II
• CE certification
• 2 years maintaining or managing cloud environments (Azure, AWS)
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Manage and maintain data repositories and datastores to ensure accuracy, integrity, and accessibility
• Perform data analytics reviews to support decision-making and operational insights
• Identify and implement data system improvements to enhance efficiency and performance
• Leverage artificial intelligence and automation tools to streamline business processes
• Collaborate with stakeholders to align data solutions with program objectives
• Ensure data governance, compliance, and best practices are followed

• Bachelor’s degree in Information Systems, Data Science, Computer Science, Database Administration, Information Management, or a related field, and five (5) years of combined experience in:
  • • Data repository management and reporting
    • Data analytics review
    • Data system improvements

• US citizenship and an active TS/SCI with Polygraph security clearance required

• Master’s degree in Information Systems, Data Science, Computer Science, Database Administration, Information Management, or a related discipline
• Experience leveraging artificial intelligence to improve or automate business processes
• Experience managing datastores within the customer space.

• Develop and execute strategic communications plans aligned with organizational goals, objectives, and priorities
• Manage and maintain internal and external communication platforms, including websites and social media channels
• Research, write, edit, and review content such as press releases, articles, newsletters, leadership talking points, and social media posts
• Monitor, analyze, and report on communications metrics and media engagement to inform strategy and decision-making
• Support public affairs and outreach efforts, including responding to external inquiries and coordinating media and conference engagements
• Promote organizational events and initiatives to enhance awareness and foster partnerships
• Review and approve communications materials to ensure consistency and adherence to organizational standards
• Collaborate with senior leaders and stakeholders to tailor messaging for audiences at all levels
• Adapt messaging and communication strategies to meet changing priorities and mission needs

• Bachelor’s degree in Communications, Journalism, Public Relations, Marketing, Media Studies, or a related field, and five (5) years of combined experience in communications, public affairs, graphic design, or web content management OR a High School Diploma and ten (10) years of combined experience in communications, public affairs, graphic design, and web content management
• Experience drafting, executing, and evaluating strategic communications plans against organizational goals, objectives, and priorities
• Prior experience in customer engagement, communications, or public outreach roles
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Experience managing social media strategy and improving audience engagement
• Experience with web content management systems and digital communications tools
• Strong analytical skills with the ability to track and interpret communications metrics
• Experience supporting senior leadership with messaging and public-facing communications

• Apply advanced analytic methodologies to answer complex intelligence questions across GEOINT and multi-INT domains
• Develop, maintain, and manage structured and unstructured analytic datasets supporting intelligence production
• Design and implement machine learning and statistical models (e.g., regression, clustering, classification, time-series analysis) to support mission requirements
• Perform data preprocessing, feature engineering, and exploratory analysis to prepare datasets for advanced analytics
• Evaluate model performance, conduct error analysis, and communicate analytic results to both technical and non-technical stakeholders
• Operationalize analytic models into scalable, repeatable workflows and production pipelines
• Support GEOINT analysis using imagery, geospatial, and spatio-temporal datasets to identify trends, relationships, and mission-relevant events
• Conduct multi-INT research to augment imagery analysis and provide operational context
• Collaborate with cross-functional intelligence and engineering teams in support of enterprise-level analytic environments
• Identify capability gaps, system enhancements, and emerging technologies that improve mission delivery
• Provide technical and analytic leadership to teams solving complex intelligence problems

• Active TS/SCI clearance with the ability to obtain a CI Poly
• 5+ years of relevant experience (a combination of experience, certifications, and training may be considered)
• Demonstrated Intelligence Community experience supporting national security missions
• Expertise in advanced analytic methodologies and documented analytic tradecraft
• Experience in data mining, database manipulation, and maintaining analytic datasets
• Proficiency with Python and/or R and scientific computing libraries (e.g., NumPy, Pandas)
• Experience applying machine learning or statistical modeling techniques to mission datasets
• Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management
• Proven ability to communicate analytic findings clearly and effectively to diverse audiences
• Experience working in collaborative, mission-focused team environments

• Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission needs
• Experience supporting DoD and Intelligence Community reporting, briefings, and formal analytic products
• Proficiency with analytic and visualization tools such as Tableau, MATLAB, JEMA, MapLarge, Brewlytics, or similar
• Familiarity with FADE tools including MIST, INTELBOOK, LINX, and WATCH BOX
• Experience extracting, modeling, and visualizing multi-INT datasets for descriptive and predictive analysis
• Knowledge of Structured Observation Management tools and Object-Based Production methodologies
• Experience applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT data
• Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray
• Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures
• Experience developing analytic dashboards or mission applications
• Familiarity with ICD 203 (Analytic Standards) and ICD 206
• Understanding of Transnational Criminal Organizations (TCOs), USSOUTHCOM AOR, and coca cultivation and production areas
• Ability to shape and frame analytic outputs to directly support operational planning and decision-making

• Apply two or more core data science skill areas, including:
  • Mathematical, computational, and statistical foundations
  • Data processing, management, curation, visualization, and reproducible analytic workflows
  • Data modeling, inference, prediction, and domain-specific analysis
• Compile, integrate, and manage data from multiple sources using computer scripting, APIs, and analytic tools.
• Develop and apply statistical analyses, data models, and quantitative methods to explore, assess, and characterize large and complex datasets.
• Design and build rapid analytic prototypes to generate metrics and insights, including performance metrics for sensor or system data.
• Develop reproducible data analysis workflows using Python and common data science tools (e.g., Jupyter notebooks, Pandas).
• Interact with APIs and existing tools to retrieve, process, and analyze data; develop or extend tools as needed to support analytics.
• Translate mission or operational questions into technical and analytic requirements and corresponding analytic approaches.
• Evaluate data quality, structure, and limitations, and account for these factors in analytical methods and conclusions.
• Communicate complex analytical methods, results, and recommendations clearly to both technical and non-technical stakeholders.
• Assess and recommend analytic techniques, tools, and technical solutions based on evolving data collection, processing, storage, and analytics capabilities and constraints.
• Collaborate with multidisciplinary teams to support data-driven decision-making in mission environments.

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline (or equivalent experience)
• Minimum of three (3) years of relevant data analysis or data science experience
• Experience with data compilation and integration from multiple sources using scripting and APIs
• Experience applying statistical analysis and data modeling techniques
• Proficiency in Python for data analysis, including use of Jupyter notebooks and Pandas
• Experience developing rapid analytic prototypes and performance metrics