Applied Data Scientist

Job Summary

To enhance cybersecurity detection and response workflows, the full-time Applied Data Scientist will design, build, evaluate, and deploy machine learning and agentic capabilities while collaborating with cross-functional teams in a hybrid work environment.

Key responsibilities:

• Apply machine learning and statistical analysis to address practical cybersecurity challenges across detection, triage, investigation, and response
• Analyze complex security datasets to identify patterns and trends that enhance threat detection and analyst workflows
• Translate real-world cybersecurity scenarios into data science problems, including model selection, evaluation, and iteration

Required qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field; a master's degree is a plus
• 3+ years of experience applying data science or machine learning in production settings, preferably in cybersecurity or related domains
• Strong hands-on foundation in machine learning, applied statistics, and data science techniques
• Proficiency in Python and familiarity with data science/ML libraries; experience with PySpark or SQL is a plus
• Experience working with LLMs in applied contexts, including prompt engineering and model evaluation