Remote Senior Bot Traffic & Detection Lead

Lean Agile Learning; United Arab Emirates; Remote; AED 240,000 - 360,000; Full time

Job summary

Lean Agile Learning is seeking a Senior Bot Traffic Classification Specialist to lead identification, classification, and analysis of automated traffic across websites, applications, APIs, and digital platforms. The role focuses on distinguishing legitimate automation from malicious bot activity while collaborating with cybersecurity and data teams.

The successful candidate will apply web traffic analysis, behavioral analytics, and ML to improve detection accuracy and reduce automated abuse in a

Qualifications

• Proven experience in bot detection, traffic classification, or web security analytics.
• Strong programming and data analysis skills with Python/SQL.
• Familiarity with ML, anomaly detection and behavioral analytics.

Responsibilities

• Lead classification and analysis of automated, human-generated, and suspicious traffic.
• Develop methods to distinguish legitimate bots from malicious automation.
• Analyze HTTP requests, session behavior, IP reputation and network characteristics.
• Identify bot-driven activities such as credential stuffing, scraping and account creation abuse.
• Develop detection rules, indicators, and thresholds; evaluate performance metrics.
• Collaborate with cybersecurity, data engineering, fraud prevention, and app teams to improve capabilities.
• Prepare reports on bot traffic trends, risk exposure, and detection improvements.

Skills

Python

SQL

Machine Learning

Data analysis

Cybersecurity analytics

Communication

Education

Bachelor's or Master's in CS/Cybersecurity/DS

Job description

Lean Agile Learning is seeking a Senior Bot Traffic Classification Specialist to lead identification, classification, and analysis of automated traffic across websites, applications, APIs, and digital platforms. The role focuses on distinguishing legitimate automation from malicious bot activity while collaborating with cybersecurity and data teams.

The successful candidate will apply web traffic analysis, behavioral analytics, and ML to improve detection accuracy and reduce automated abuse in a