HUMAN
Cybersecurity
SeniorDetectionResearcher
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Detection Researcher at HUMAN. Skills: Detection research, Machine learning, Data engineering, Applied machine learning. Lead research initiatives. Design detection methods”
What You'll Achieve.
Maximize output; Drive high-quality results
Industry & Context.
Formulate hypotheses; Design experiments; Turn ambiguous problems into outcomes
What They're Looking For.
Must Have
5+ years experience with data, Proficiency in SQL, Proficiency in Python, Comfort handling large datasets
Nice to Have
Familiarity with cybersecurity research, Experience with feature engineering, Experience with reputation systems, Experience with anomaly detection, Experience with behavioral modeling, Exposure to real-time enforcement systems, Exposure to online enrichment pipelines, Exposure to ML-driven detection, Academic background in data science, Professional background in data science, Academic background in statistics, Professional background in statistics, Academic background in machine learning, Professional background in machine learning
What You'll Do.
Lead research initiatives
Design detection methods
Implement detection methods
Deploy detection methods
Investigate attack patterns
Dissect threat actor operations
Develop countermeasures
Fuel detection models
Fuel reputation systems
Collaborate with engineering
Collaborate with product
Collaborate with security research
Collaborate with data science
Collaborate with incident response
Translate research findings
Own customer-facing research
Conduct traffic analysis
Drive detection improvements
Contribute to detection quality
Review colleagues' work
Monitor production anomalies
Iterate on trade-offs
How You'll Work.
Team & Collaboration
Cross-functional environment; Engineering teams; Product teams; Security research teams; Data science teams; Incident response teams
Communication Scope
Convey technical findings
Full Job Description
ABOUT THE TEAM The Enterprise Research team at HUMAN protects the internet by disrupting the economics of cybercrime. We are the detection engine behind HUMAN's products - our algorithms make trillions of decisions per day, distinguishing real humans from sophisticated automated threats. Our team of security researchers, data researchers, and data scientists works at the intersection of adversarial security, data engineering, and applied machine learning to build defenses that stay ahead of constantly adapting attackers. We are looking for a Senior Detection Researcher to join us and play a key role in designing the next generation of our detection and enforcement systems. WHAT YOU'LL DO - Lead research initiatives to design, implement, and deploy innovative detection methods at scale, from early-stage discovery to production rollout. - Investigate adversarial attack patterns, dissect how threat actors operate, and develop countermeasures that are resilient to adaptation and evasion. - Engineer and curate features across large-scale data pipelines (Reputation signals, behavioral signals, network-level attributes) to fuel detection models and algorithms and reputation systems. - Collaborate closely with engineering, product, security research, data science, and incident response teams to translate research findings into production-grade enforcement rules and models. - Leverage AI tools daily to maximize output and drive high-quality results - Own end-to-end customer-facing research for strategic accounts. conduct deep-dive traffic analysis, resolve complex escalations, and drive detection improvements based on real-world adversarial activity. - Contribute to the team's detection quality practices by reviewing colleagues' work, monitoring production anomalies, and iterating on precision/recall trade-offs. WHO YOU ARE - 5+ years of experience working with data at scale: strong proficiency in SQL and Python and comfort handling large, complex datasets. - A researcher mi
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