Conducts digital media investigations and operations.
Examines the hard drives of computers, storage devices, cell phones, PDA’s, or any electronic device that may hold evidence that could be used in a court of law.
Performs forensic analysis of digital information and gathers and handles evidence.
Performs a variety of forensic and electronic discovery services, including digital evidence preservation, forensic analysis, data recovery, tape recovery, electronic mail extraction, and database examination.
Uses forensically sound procedures to identify network computer intrusion evidence and identifies perpetrators.
Employs forensic tools and techniques to support investigation of computer fraud or other electronic crimes, crack files and system passwords, detects steganography and recovers deleted, fragmented and corrupted data from digital media of all types.
Observes proper evidence custody and control procedures, documents procedures and findings in a manner suitable for courtroom presentation and prepares comprehensive written notes and reports.
May be required to testify in federal/military court as expert witnesses.
REQUIRED QUALIFICATIONS:
Requires 8 to 10 years relevant experience with BS/BA in Computer Science, Computer Engineering, Electrical Engineering, Math, Physics or similar; or 6 to 8 years with MS/MA; or 3 to 5 years with PhD.
Experience analyzing malware
Five or more years of experience in intelligence research and analysis, preferably in cyber threat tradecraft
DESIRED QUALIFICATIONS:
Experience with technology areas, including embedded hardware, software development, machine learning, artificial intelligence, Natural Language Processing (NLP), data science, full-stack web development, scripting, pen-testing, or malware reverse engineering analysis
Experience with developing software in programming languages, including Java, C, C++, JavaScript, Python, Go, or Ruby
Experience in working with software version control systems, including Git or SVN
Experience with Software Development Lifecycle (SDLC) processes, including Agile and Scrum software development methodologies
Knowledge of scripting languages, including Python, Ruby, BASH, Perl, or R
Ability to work through difficult technical software problems
Ability to communicate technical information both verbally and in writing
