Forensics Consultant

Lineal; Columbus (OH); On-site; USD 80,000 - 120,000; Full time

Job summary

Lineal is seeking a forensic consultant to guide clients through data collection, processing and analysis across PCs, mobile devices, servers and cloud systems. You will serve as a subject matter expert for both clients and internal stakeholders and will present findings in person.

Ideal candidates have a degree in forensics or computer science, relevant certifications, at least 2 years' experience in digital forensics or eDiscovery, and a proven ability to work with clients and travel as needed.

Qualifications

• Degree in forensics or computer science.
• Industry certifications such as ACE, EnCE, CCPA, CCME, CISSP.
• Minimum 2+ years in digital forensics or eDiscovery with client exposure.
• Experience collecting data from PCs, servers, networks, Webmail, social media, and O365.
• Proficiency with FTK, EnCase, Cellebrite, CAINE, and DEFT.
• Familiar with eDiscovery processes and the EDRM model.
• Strong technical ability across hardware and software and strong analytical skills.

Responsibilities

• Collaborate with Forensic & Evidence Handling teams to support daily lab operations.
• Conduct data collection from diverse systems in a forensically sound manner.
• Own a forensic project and guide it through all stages of a digital investigation.
• Communicate with clients about best practices and industry standards.
• Collaborate with internal units to maintain high client success.

Skills

Client communication

Presentation to clients

Analytical problem-solving

Travel willingness

Education

Bachelor's degree in Forensics or Computer Science

Tools

FTK

EnCase

Cellebrite

CAINE

DEFT

Job description

A forensic consultant will be able to guide clients through forensic data collection, processing and analysis of data generated by systems used in today's large corporations. They will be a subject matter expert in the field of digital forensics for both clients and internal stakeholders at Lineal. They will be comfortable through all aspects of digital investigations' involving PCs, Mobile Phones, Servers and Cloud systems. They will work as part of the Lineal team striving for excellence, with a drive to be the best. Candidates should have experience in presenting to clients, including face to face. With excellent communication skills.

Responsibilities of the position include, but are not limited to:

• Work with both Forensic & Evidence Handling teams assisting with daily lab operations to meet client expectation.
• Conduct data collection from a wide range of systems and applications in a forensically sound manner.
• Take ownership of a forensic project and lead it through all steps of a digital forensic investigation,
• Communicate and consult with our clients through all channels of communication, including Face-to-Face, on forensic best practices and industry standards.
• Work with all internal business units to build and maintain high level of client success.

Education & Experience:

• Educated to degree-level in either forensics or computer science.
• Industry recognized certifications such as ACE, EnCE, CCPA, CCME, CISSP.
• At least 2+ years' experience working in either digital forensics or an eDiscovery role, preferably with client facing exposure.
• At least 2+ years' experience conducting forensic collections from PC, Server, Network, Webmail, Social Media and o365 sources.
• Demonstrate the ability to forensically collect data from various systems and platforms.
• Working knowledge of tools such as FTK, EnCase, Cellebrite, Caine, DEFT
• Familiar with eDiscovery processes and the EDRM model.
• Strong technical ability with various computer systems, both hardware and software
• Strong analytical approach to problem-solving.

Additional Requirements & Desires

• Willing to travel for business-related purposes, globally. On occasion this can be at short notice.
• Experience in project scoping and formulating project plans (desired)
• Experience with processing & review platforms, including Nuix, Relativity, Intella (desired)