At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. Because of that we’ve earned numerous honors and top rankings for our technology, organization and talent. Our culture was purpose-built to be remote first, and we offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. If you’re ready to work on unrivaled technology with a team that makes a difference every day, let’s talk.

About the Role:

CrowdStrike Identity Protection team is expanding. We are looking for Data Scientists to help us build solutions with detections based on indicators of risk, analytics and risk scoring.  You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our unsupervised learning models, refine our identification of malicious identity-based threats and create network insights. CrowdStrike’s cybersecurity data is one-of-a-kind: we process over 1 trillion behavioral events per day and have over 2000 terabytes of malware samples in our research repository.  We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems

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What You'll Need:

• Undergraduate or postgraduate 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

You will:

• Mine large scale data, identify patterns, and visualize trends

• 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 to derive more value from data collected

• Create predictive models using supervised learning techniques to accurately classify network entities

• Hone your ability to balance detail-oriented research with goal-oriented business objectives

• Implement and experiment with new algorithms and methodologies to help improve our machine learning models

• Automate and visualize analyses, results and processes in our machine learning pipeline

You are:

• 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 the standard algorithms, their trade-offs, their usage, and how to tune them

• Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights

• An independent self-starter who likes to take ownership and independently seeks out new challenges

• Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts

• Comfortable to dive 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: never afraid to drill down into a data-set, or debug-deeper into an unfamiliar codebase

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Benefits of Working at CrowdStrike:

• Remote-friendly culture

• Market leader in compensation and equity awards

• Wellness programs

• A variety of professional development and mentorship opportunities

• Open offices have stocked kitchens, coffee, soda and treats

• Inclusive culture focused on people, customers and innovation

CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.