Senior Network Security Data Scientist, Corelight

• The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection
• Degree in Computer Science or related fields, or equivalent experience
• 7+ years of experience in data science or LLM applications with a focus on cybersecurity
• Strong data science skills, including a proven track record applying the techniques to real-world problems
• Understanding of practical networking, security, and their intersection along with an enthusiasm to keep learning about these domains from highly experienced experts
• Experience in Python and data science libraries and tools (Scikit-Learn, Keras, PyTorch, Tensorflow, Pandas, Polars, Spark, DuckDB)
• Experience in LLM frameworks such as langchain, langgraph, llamaindex, chroma or similar
• Experience using LLMs to tackle cybersecurity use cases
• Excellent communication skills to work effectively in a team
• Strong appreciation for our core values: low ego results, tireless service, and applied curiosity

Desirable

• We are building a world class and uniquely targeted team to drive research through data science and security expertise
• You will play a crucial role in leveraging data generated from tools like Zeek, Suricata, and Yara to drive our AI/ML product offerings forward
• Contribute to the full range of stages of AI/ML projects, from explorations to productization
• Identify apt opportunities to apply supervised and unsupervised techniques to robustly detect a wealth of behaviors, in the face of a range of real-world constraints
• Build agentic applications and customize LLMs with RAG or fine-tuning and to tackle advanced network security use cases
• Leverage network traffic logs to create models for behavioral detection of TTPs with low FP rates
• Evaluate and refine algorithms against data-at-scale gathered from operational environments
• Work with ML engineers and network security experts to implement scalable AI/ML pipelines
• Work in an Agile development team focused on exploring and delivering AI/ML use cases
• Participate in technical discussions within the Labs team and collaborate with other teams across the organization
• Author key materials to (a) share network security insights with the community, and (b) guide analysts in employing the models you develop and lead