Threat Analyst, Machine Learning (Remote, Eastern & Central)

Posted Yesterday
36 Locations
Remote
100K-150K Annually
Junior
Cloud • Information Technology • Sales • Security • Cybersecurity
Define your future at CrowdStrike.
The Role
As a Threat Analyst, you will analyze malware and customer detection tickets, improve detection efficacy, manage false positives, and collaborate with internal teams. Strong knowledge of malware functionality and programming skills, particularly in Python, are essential for this role.
Summary Generated by Built In

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate an inclusive culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

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 to analyze 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

#LI-Remote

#LI-RC1

This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.

Benefits of Working at CrowdStrike:

  • Remote-friendly and flexible work culture

  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs 

  • Competitive vacation and holidays for recharge  

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. The base salary range for this position in the U.S. is $100,000 - $150,000 per year + variable/incentive compensation + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location.

Expected Close Date of Job Posting is:01-05-2025

Top Skills

Python

What the Team is Saying

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The Company
HQ: Austin, TX
10,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

CrowdStrike has redefined security with the world’s most advanced cloud-native platform that protects and enables the people, processes and technologies that drive modern enterprise. Tested and proven, the world's largest organizations trust CrowdStrike to stop breaches with unparalleled protection against the most sophisticated cyberattacks.

The CrowdStrike culture has been built upon our Core Values since the day we began. We are Fanatical About the Customer, Relentlessly Focused on Innovation and believe that our Limitless Passion drives Unlimited Potential for every CrowdStriker. As a purpose-built remote-first company, we believe cultivating a connected culture for every employee, no matter where they are in the world, is a key ingredient in building a high-performing, diverse team.

We don’t have a mission statement. We’re on a mission—to stop breaches. Ready to join a mission that matters?

Why Work With Us

We have a culture that celebrates achievement, encourages flexibility and innovation and thrives on teamwork. We all work towards a single mission: to stop breaches. This common goal drives a sense of community and connection among our people across the globe.

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CrowdStrike Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQAustin, TX
Singapore
Osaka
Aarhus, DK
Arlington, VA
Barcelona, ES
Bengaluru, IN
Brussels, BE
Bucharest, RO
Cheltenham, GB
Copenhagen, DK
Dubai, Dubai
Irvine, CA
Kirkland, WA
Minneapolis, MN
Mumbai, IN
New Delhi, IN
Pune, IN
Reading, GB
Riyadh, SA
St Louis, MO
Sydney, Sydney
Tel Aviv-Yafo, IL
Tokyo, Japan
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