Data Scientist — ML, Analytics & Cloud; PTO

Requires any one or combination of Java, C, C++, Scala, and Python. Windows and/or Unix/Linux experience required.

Preferred experience:

x86 and x64 programming, VMware, git, and Agile/Scrum. CNO programming experience, while not a requirement, is highly desired

Requires design, development, integration and testing for complex embedded systems, C, C++, Python, Assembly programming in embedded OS environments. Knowledge of embedded OS internals, git, CI/CD workflow, and Agile. Understanding of network protocols and standards, and the software development cycle. Reverse engineering experience preferred

Requires extensive experience in C/C++ programming in a Windows environment;
Socket programming knowledge; multi-thread programming knowledge of Windows and/or Linux APIs; proficient in debugging Windows user mode components with exposure to debugging kernel mode components; experience in writing Windows device drivers;
Windows internals knowledge; exposure to x86 or x64 assembly, and experience in binary analysis

Requires familiarity with reverse engineering environments such as IDA Pro, Olly Dbug, or Ghidra. Must be proficient on low-level languages such as Assembly, C, C++; possess knowledge of PE and ELF binary formats; protocol analysis, TCP/IP and other networking technologies; ability to identify and work with potentially obfuscated and packed binary code

Requires in-depth knowledge of customer processing needs, processing equipment, data flows, data formats, metadata, metrics and databases; possess the ability to adapt to new system requirements and components; strong troubleshooting skills to identify problems and creativity in developing solutions are essential; positions may include designing, integrating and testing systems before deployment, optimizing operational characteristics of the system, troubleshooting systems problems and proposing solutions

Requires a strong background in evaluating, designing, assembling, and monitoring medium to large-scale IP networks; possess the ability to interpret, modify and test configurations for network devices from multiple vendors; requires troubleshooting interface problems between network and customer equipment; strong knowledge and interest of next generation networks is a must

Requires a multi-disciplinary approach to the analytic mission, applying IT network knowledge and target understanding to establish environmental awareness; solid understanding of OSI and TCP/IP models in relation to network devices and protocols; experience with common network management protocols – including routing and switching – to understand and map networks; knowledge of enterprise, service provider, and cloud architectures; focus on Next Gen networks and technologies in constantly evolving telecommunications networks

Requires an ability to conduct advanced analysis of collection and open-source data to generate insights and leads, ensure target continuity, profile targets and their activities, and develop techniques to gain additional target information. Must have knowledge of collection systems, DNI/DNR disciplines, AMOD tools and databases, and be able to produce finished intelligence. A TDNA must also be adept at identifying intelligence gaps to tailor current collection or enable new collection to close gaps;

employ multiple analysis disciplines such as pattern recognition against targets’ communications, network usage and digital footprints; and apply knowledge and understanding of IC needs and missions, as well as the targets’ culture, behaviors, and communications technologies

Requires an understanding of intrusion detection analysis; understanding of adversarial hacking methods and capabilities; knowledge of current and cutting edge techniques in order to discover previously unknown adversaries; ability to create and implement mitigation plans against adversarial activity;…