$90,000 – $125,000
Listed on CrowdStrike’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
CrowdStrike is looking for a new graduate data scientist to build machine learning and AI systems that analyze security data at massive scale for their next-generation SIEM platform. This role suits someone with a strong quantitative background and hands-on experience with deep learning frameworks who wants to work on real-world AI problems in cybersecurity.
Our summary, not CrowdStrike’s wording. The full posting is on their site.
Skills this role names
- Data Science
- Deep Learning
- GenAI (Generative AI)
- Go
- LLMs (Large Language Models)
- Machine Learning
- Python
- PyTorch
- Retrieval-Augmented Generation (RAG)
- scikit-learn
- SQL
- TensorFlow
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What they ask for
Required
- Master's or PhD in quantitative field (Statistics, Computer Science, Data Science, or AI)
- Strong foundation in machine learning, statistics, or data science
- Hands-on experience building GenAI applications and applying LLMs and agentic AI
- Personally implemented models in PyTorch or TensorFlow
- Proficiency in Python and SQL
- Experience with scikit-learn and forecasting libraries
- Analytical and problem-solving abilities
- Experience with Go, Python and data science tools through coursework, research, internships or projects
- Ability to analyze complex problems and build data-driven solutions
- Strong communication skills
- Write clean, maintainable code
- Attention to detail and curiosity about security problems
- Collaborate with cross-functional teams
- Proven experience using AI technologies to enhance decision-making and drive outcomes
Nice to have
- Participation in competitive programming (USACO Platinum, IOI Camp, IOI)
- Participation in competitive AI (USAII, Nova AI, Kaggle)
- Participation in advanced mathematics competitions (USAJMO, USAMO, MOP, IMO)
- Publications or significant internship in AI and cybersecurity