Threat Analyst, Machine Learning - SkillBridge (Remote)

About SkillBridge:

This Job Description is for DoD SkillBridge participation and is not eligible for direct hire.

CrowdStrike’s DoD SkillBridge / Career Skills Program (CSP) Internship is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29 as enacted by 10 U.S.C. Sec 1143. Eligibility is restricted to members of the U.S. Armed Forces separating honorably with greater than 180 days of continuous Active Duty. SkillBridge/CSP period of eligibility is within the final 180 days of Active Duty service, and the SkillBridge/CSP must be completed prior to separation from Active Duty in the U.S. Armed Forces.

CrowdStrike’s DoD SkillBridge/CSP Internship is open to members of all services, and all ranks and experience levels. Service members should fully review SkillBridge/CSP Job Description for requirements and qualifications of the individual position.

SkillBridge participants participate in full time training with industry (40-hour work week) under permissive temporary duty military orders and are not eligible for compensation from CrowdStrike during SkillBridge participation, but will continue to receive all military wages and benefits as defined by the Department of Defense.

DoD SkillBridge/CSP is fully compliant with FLSA, DBA, SCA, CSHSSA and all other pertinent Federal and State labor laws. For more employer information regarding DoD SkillBridge/CSP, please visit the Department of Defense DoD SkillBridge website at

About the Role:
Our CrowdStrike Data Science Machine Learning Operations and Response Team is looking for a Threat Analyst who is both customer- and team-focused. This role will include both response and pro-active aspects. This role will be perfect for anyone who has experience involving detections and/or reverse engineering. The primary responsibility of this role will be toanalyze malware and detections by investigating individual customer detection tickets. This team is focused on improving detection capability and efficiency through analysis of malware or other threat detections impacting our customer base. Experience with detections of potentially malicious behavior by machine learning models is a plus.
 

Bring your passion for helping internal partners resolve questions about detections of potentially malicious activity by machine learning and our detection capability. Our goal for the team is to both help internal teams respond to customer-inquiries about threat detection and to provide information about the effects of our detections into the Data Science organization - including detection efficacy and managing false positive detections.
 

This role will work most closely with internal teams such as Technical Account Managers, Falcon Complete, Data Scientists and the Malware Research Center in Data Science.
 

What You'll Do:

• Review current product detections to ensure they are performing to

• the company standard

• Perform tasks to enable better-management of false positive

• detections

• Analyze binary files to determine their legitimacy

• Address internal questions and concerns regarding customer threat

• detections

What You'll Need:

• Exposure and understanding of different types and functionality of

• malware

• Experience with reverse engineering malware, or malware operations

• Knowledge of programming and scripting languages, in particular

• Python

• Fundamental understanding of attributes of binary files such as

• imports/exports and packers

• Ability to demonstrate practical knowledge of research/collection

• skills and analytical methods

• General understanding of threat/risk management and threat/risk

• assessment

• Familiarity with various operating systems

• Ability to break down complex problems into workable components

Bonus Points:

• Experience in a security operations center or similar environment

• responding to incidents

• A thorough understanding of Windows OS internals and the Windows

• API

• Knowledge of MacOS and/or Linux

• Familiarity with tools used in targeted and criminal cyber-intrusions

• A background in exploit and vulnerability analysis

• Knowledge of a variety of programming languages including C, C++,

• Java, and assembly

• Experience with threat detections by machine learning
   

Education:

• BA/BS or MA/MS degree or equivalent experience in Computer

• Science, Information Security, or a related field
   

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