#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.
Fully remote
The Data Science Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. For our 12-week internship program, you will not be able to work outside of your designated country. Interns are also invited to work out of the CrowdStrike office located closest to their remote location.
About the role
- You will have the opportunity to apply your software engineering, 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 malware and behavioral threats.
- Work directly with Sr. Data Scientists, helping to create predictive machine learning models that help detect and stop today's most sophisticated threats
- 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
What you’ll need
- By the beginning of the internship, interns must have completed their Bachelor of Science.
- Analytically minded with completed coursework in linear algebra and statistics or an equivalent knowledge of applied mathematics.
- Experienced in writing python code to pre-process and analyze data to generate actionable insights.
Bonus points
- 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
- Prior experience in statistical/machine-learning data modeling
- Strong interest in the area of Cybersecurity
- Postgraduate study or experience in a quantitative area, e.g. Computer Science, Statistics, Data Science, Mathematics, Physics, Econometrics, or similar
- Eagerness to learn working in a Linux environment in the AWS cloud
- Passionate to gain knowledge of CI / CD and associated best practices
Summer internship program experience teaser
- Access to Intern Executive Speaker Series
- Development Workshops
- Fun social mixers
- Tech Talks
- Volunteer events
- Access to company events
- Assigned Mentor
- Continuous feedback
- Paid Holidays
- Swag and more!
- Work from home stipend to help with remote desk set up
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.
