Top Benefits
About the role
Who you are
- 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+ year’s experience working on real world machine learning models and pipelines
- 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
What the job involves
- CrowdStrike’s CTO Labs team is expanding -- we are at the exciting intersection of Machine Learning, Big Data, and Security and are looking to add a Data Scientist specializing in machine learning to 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 be able to 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: we process nearly a trillion behavioral events per day and have 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
- 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 to derive more value from data collected
- 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
The application process
- Expected Close Date of Job Posting is:08-16-2025
Benefits
- Competitive Employee Stock Purchase Plan
- Comprehensive Health Benefits
- 401(k) Plan
- Parental & Fertility Assistance
- Remote-first culture
- Health & Wellness Programs
- Professional Development
- Executive Coaching & Mentorship
- Offices with stocked kitchens when you need to fuel innovation and collaboration
- Competitive vacation and flexible working arrangements
About CrowdStrike
CrowdStrike (Nasdaq: CRWD), a global cybersecurity leader, has redefined modern security with the world’s most advanced cloud-native platform for protecting critical areas of enterprise risk — endpoints and cloud workloads, identity and data.
Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities.
Purpose-built in the cloud with a single lightweight-agent architecture, the Falcon platform delivers rapid and scalable deployment, superior protection and performance, reduced complexity and immediate time-to-value.
CrowdStrike: We stop breaches.
Top Benefits
About the role
Who you are
- 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+ year’s experience working on real world machine learning models and pipelines
- 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
What the job involves
- CrowdStrike’s CTO Labs team is expanding -- we are at the exciting intersection of Machine Learning, Big Data, and Security and are looking to add a Data Scientist specializing in machine learning to 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 be able to 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: we process nearly a trillion behavioral events per day and have 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
- 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 to derive more value from data collected
- 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
The application process
- Expected Close Date of Job Posting is:08-16-2025
Benefits
- Competitive Employee Stock Purchase Plan
- Comprehensive Health Benefits
- 401(k) Plan
- Parental & Fertility Assistance
- Remote-first culture
- Health & Wellness Programs
- Professional Development
- Executive Coaching & Mentorship
- Offices with stocked kitchens when you need to fuel innovation and collaboration
- Competitive vacation and flexible working arrangements
About CrowdStrike
CrowdStrike (Nasdaq: CRWD), a global cybersecurity leader, has redefined modern security with the world’s most advanced cloud-native platform for protecting critical areas of enterprise risk — endpoints and cloud workloads, identity and data.
Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities.
Purpose-built in the cloud with a single lightweight-agent architecture, the Falcon platform delivers rapid and scalable deployment, superior protection and performance, reduced complexity and immediate time-to-value.
CrowdStrike: We stop breaches.