Data Scientist, Machine Learning

Employment Type: Full time Location Type: Remote

Position Overview

CrowdStrike is a global leader in cybersecurity, protecting people, processes, and technologies that drive modern organizations. Since 2011, our mission has been to stop breaches, and we have 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 are a mission-driven company that cultivates a culture of flexibility and autonomy, empowering every CrowdStriker to own their careers. We are seeking talented individuals with limitless passion, a relentless focus on innovation, and a fanatical commitment to our customers, community, and each other. The future of cybersecurity starts with you.

About the Role

CrowdStrike's CTO Labs team is expanding at the exciting intersection of Machine Learning, Big Data, and Security. We are looking for a Data Scientist specializing in machine learning to join our growing team. You will have the opportunity to apply your coding, mathematical, and scientific research skills to the bleeding edge of security technology. You’ll leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioral threats. CrowdStrike’s cybersecurity data is one-of-a-kind, processing nearly a trillion behavioral events per day and holding over 2000 terabytes of malware samples in our research repository. We are a cross-functional team with deep expertise in Machine Learning, Big Data, and Security.

Responsibilities

• Mine large scale and high dimensional data, identify patterns, and visualize trends.
• Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats.
• Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.
• Work closely with domain experts to improve our raw data and derive more value from collected data.
• Balance detail-oriented research with goal-oriented business objectives.
• Implement and experiment with new algorithms and methodologies to improve our machine learning models.
• Automate and visualize analyses, results, and processes within our machine learning pipeline.

Requirements

• Undergraduate or post-graduate degree in a STEM field.
• Extensive post/undergraduate experience in data science, machine learning, or any field employing computational science or data-driven analyses.
• Programming experience in Python.
• 2+ years of experience working on real-world machine learning models and pipelines.

Bonus Points

• Passionate about cybersecurity, with a firm understanding of the problem space, or passionate about applying your machine learning skillset to new domain areas such as cybersecurity.
• Versed in utilizing Machine Learning techniques and familiar with standard algorithms, their trade-offs, usage, and tuning.
• Experience working with very large datasets of sparse high-dimensional data, including pre-processing and analysis for actionable insights.
• An independent self-starter who takes ownership and independently seeks out new challenges.
• Thirsty for knowledge and willing to step outside of your comfort zone to learn new technologies, algorithms, and concepts.
• Comfortable diving into a Python codebase, including experience with unit testing and the Python packaging ecosystem.
• Comfortable and experienced working in a Linux environment in the AWS cloud.
• Analytically minded, unafraid to drill down into datasets or debug unfamiliar codebases.

Benefits of Working at CrowdStrike

• Remote-friendly and flexible work culture.
• Market leader in competitive compensation and benefits.

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