Data Science and Data Engineering Internship

About the Role:

• 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 behavioural 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 an visualise analyses, results and processes in our machine learning pipeline

Minimum Qualifications:

• Penultimate or final year of a Masters programme
• Penultimate or final year of a PhD programme
• 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 analyse 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 analysing such data to gain actionable insights
• Eagerness to learn working in a Linux environment in the AWS cloud
• Passionate to gain knowledge of CI / CD and associated best practices along with Docker-based development and orchestration
• Willing to learn to contribute to the open source community (GitHub, Stack Overflow, blogging)Prior experience with Spinnaker, Relational DBs, or KV Stores

What You Can Expect

• Remote-first culture
• Executive Speaker Series & Tech Talks
• Fun socials and give-back events (e.g. virtual trivia, escape rooms, Intern Spirit Week, etc.) occurring weekly
• Development workshops to grow your soft and hard skills
• Networking opportunities with fellow interns and CrowdStrikers
• Owning impactful projects that move the company forward
• Working alongside a diverse and global team
• Assigned one-on-one mentor and continuous feedback
• Participation in our Employee Resource Groups (ERGs)
• Access to our FalconFit Wellness Program and Employee Assistance Program
• Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
• Paid holidays, sick days, and optional enrolment into pension plans
• Market leader in compensation