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Data Science Internship (Summer 2020)

About the Role
CrowdStrike is looking to fill a Summer 2020 Internship with our Data Science team working at the exciting intersection of Machine Learning, Big Data, and Security. 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 over 300 billion behavioral events per day, and have over 1 petabyte 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. You will gain valuable experience in a fast-paced high-growth environment.



You will…
  • 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


You are…

  • 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
  • Hands on in your approach to understanding data and learning about new fields
  • Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
  • Comfortable with working in a Linux environment
  • Bonus points for coursework or previous experience in scientific computing, machine learning or computer security.
  •  A rising junior, senior, or graduate-level computer science, data science student or related field, not graduating earlier than August 2020