#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We're looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.
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About the Role:
Our CrowdStrike Data Science Machine Learning Operations and Response Team is looking for a Threat Analyst III who is both customer- and team-focused. This role will include both response and pro-active aspects. This role will be perfect for anyone looking for a non-managerial leadership role involving detection of malicious activity by machine learning. The primary responsibility of this role will be to support processes around suspicious or malicious activity, data analysis of detections, individual customer detection tickets and contributing to improving detection models efficacy. 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 must.
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 Customer Support, Product Engineering, 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
- Contribute to processes that enable optimal response to customer issues
- Strong 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
- Understanding of attributes of binary files such as imports/exports and packers
- Demonstrate practical knowledge of research/collection skills and analytical methods
- Strong understanding of threat/risk management and threat/risk assessment
- A thorough understanding of Windows OS internals and the Windows API and supporting multiple operating systems
- Experience with threat detections by machine learning
- Experience in building response processes
- Experience in a security operations center or similar environment responding to incidents
- Experience working in cross-functional teams
- Experience with Detection Engineering
- 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 working in globally diverse teams
- BA/BS or MA/MS degree or equivalent experience in Computer Science, Information Security, or a related field
- Remote-first culture
- Market leader in compensation and equity awards with option to participate in ESPP in eligible countries
- Competitive vacation and flexible working arrangements
- Physical and mental wellness programs
- Paid parental leave, including adoption
- A variety of professional development and mentorship opportunities
- Access to CrowdStrike University, LinkedIn Learning and Jhanna
- Offices with stocked kitchens when you need to fuel innovation and collaboration
- Birthday time-off in your local country
- Work with people who are passionate in our mission and Great Place to Work certified across the globe
CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact Recruiting@crowdstrike.com , for further assistance.