Conduct and document rigorous exploratory data analyses of potential source datasets.
Collaborate with internal incident-response, threat-intel, and product teams on evolving threats and their detection
Formulate,build, test, and document proofs-of-concept for new techniques in threat detection.
Drive or assist in engineering scalable, production-ready software for proven techniques.
Champion, build, and maintain AI-driven capabilities for all of the above.
Communicate proactively and effectively to product, threat-research, and other stakeholders via presentations, proposals, and requirements.
Requirements
At least four (4) years experience in a related field; OR At least two (2) years experience , plus a graduate degree (Masters' at least) in a related technical field
Strong fundamentals in applied statistics and probability
Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor.
At least two (2) years of experience in selecting and applying machine-learning techniques; OR at least two (2) years of experience mining datasets over 1 TB in volume.
Strong programming skills in Java, Python, or Scala
Excellent communication skills
Experience formulating, leading, and executing applied-research projects and assisting in their production implementation.