Analysis Skills, Apache Spark, Automation, Computer Programming, Computer Science, Data Analysis, Data Processing, Data Sets, Distributed Computing, Full Scope Polygraph, Health Plan, Internet Security, Life Insurance, Mathematics, Network Protocols, Operational Audit, Physical Science, Problem Solving Skills, Protocol Analysis, Python Programming/Scripting Language, Scripting (Scripting Languages), Security Analysis, Security Attacks, Sensitive Compartmented Information (SCI), Top Secret Clearance, Vision Plan
Job Summary
- Seeking a Cryptologic Computer Scientist to serve as a hybrid technical expert combining computer science and cyber threat analysis to support mission-critical operations
- This role focuses on analyzing large-scale datasets to identify patterns, anomalies, and potential cyber threats, with an emphasis on network and protocol analysis
- The candidate will leverage advanced analytics and programming skills to enable discovery-driven insights within complex data environments
Primary Responsibilities
- Analyze large-scale datasets to identify cyber threats, anomalies, and patterns of interest
- Perform network and protocol analysis to support detection and understanding of adversary activity
- Develop and implement data processing and analytics solutions using Python and Apache Spark
- Work with distributed data systems to process and analyze high-volume data efficiently
- Apply analytical techniques to support cyber threat analysis and mission discovery efforts
- Utilize and integrate customer-specific tools and analytic platforms to support mission objectives
- Collaborate with analysts, engineers, and mission stakeholders to refine analytic approaches and solutions
- Develop scripts, models, and workflows to enhance data analysis and operational capabilities
- Document analytic findings, methodologies, and recommendations
Required Qualifications
- Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
- Master’s degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
- Degree must be in Engineering, Mathematics, Computer Science, a Physical Science, or a related technical field
- Experience with Python programming for data analysis and automation
- Experience working with Apache Spark or similar large-scale data processing frameworks
- Strong background in network and protocol analysis
- Experience working with large-scale or distributed data environments
- Ability to analyze complex datasets and extract meaningful insights
- Strong problem-solving and analytical skills
Desired Qualifications
- Inquisitive and discovery-focused mindset
- Ability to work both independently and collaboratively in a mission-driven environment
- Strong curiosity and initiative in exploring complex data and uncovering insights
Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.
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Momentum Engineering Openings