HUMAN
Engineering & Research
SeniorDetectionResearcher
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Detection Researcher at HUMAN. Skills: Detection research, Machine learning, Data engineering, Cybersecurity. Lead research initiatives. Design detection methods”
What You'll Achieve.
Maximize output; Drive high-quality results
Industry & Context.
Data-driven analysis; Creative thinking; Ambiguous problems
What They're Looking For.
Must Have
5+ years of experience working with data at scale, Proficiency in SQL, Proficiency in Python, Comfort handling large, complex datasets, Researcher mindset, Formulate hypotheses, Design experiments, Turn ambiguous problems into measurable outcomes, Solve real-world problems through data-driven analysis, Solve real-world problems through creative thinking, Solid understanding of HTTP, Solid understanding of web protocols, Solid understanding of client-server interactions, Sense of ownership, Accountable for accuracy, Accountable for impact, Great communication skills, Convey technical findings clearly to technical stakeholders, Convey technical findings clearly to non-technical stakeholders, Collaborative team player
Nice to Have
Familiarity with cybersecurity research, Experience with feature engineering for detection or classification systems, 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, Academic background in statistics, Academic background in machine learning, Professional background in data science, Professional background in statistics, Professional background in machine learning
What You'll Do.
Lead research initiatives
Design detection methods
Implement detection methods
Deploy detection methods
Investigate adversarial attack patterns
Dissect threat actor operations
Develop countermeasures
Fuel detection models
Fuel reputation systems
Collaborate with engineering teams
Collaborate with product teams
Collaborate with security research teams
Collaborate with data science teams
Collaborate with incident response teams
Translate research findings into enforcement rules
Translate research findings into enforcement models
Drive high-quality results
Own customer-facing research
Conduct deep-dive traffic analysis
Resolve complex escalations
Drive detection improvements
Contribute to detection quality practices
Review colleagues' work
Monitor production anomalies
Iterate on precision/recall trade-offs
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Security research teams; Data science teams; Incident response teams
Communication Scope
Technical findings communication
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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