🚀 Internship
Data Science and Data Engineering Internship - Summer 2023 (Remote)
CrowdStrike
1mo ago
Description
CrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers competitively paying positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured twelve- or ten-week program and supportive, collaborative virtual, in-person, and hybrid environments where they can ignite their passion for the future of technology. Our University Program is designed to provide participants with exposure to meaningful work that supports CrowdStrike’s mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!
We are committed to fostering a culture of belonging where everyone feels seen, heard, 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.
Area of Responsibilities
Responsibilities
- 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
Requirements
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