Senior Bot Traffic Classification Specialist

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

Job Title: Senior Bot Traffic Classification Specialist

Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

Level: Senior

About the Role

We are seeking a Senior Bot Traffic Classification Specialist to lead the 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, detecting suspicious traffic patterns, reducing automated abuse, and improving the accuracy of bot detection systems.

The successful candidate will bring expertise in web traffic analysis, behavioral analytics, cybersecurity, machine learning, and automated threat detection to help protect digital services while maintaining a positive experience for legitimate users.

Key Responsibilities

• Lead the classification and analysis of automated, human-generated, and suspicious digital traffic.
• Develop and maintain methodologies for distinguishing legitimate bots, search engine crawlers, monitoring tools, and malicious automation.
• Analyze HTTP requests, session behavior, request frequency, user-agent patterns, IP reputation, and network characteristics.
• Identify bot-driven activities such as credential stuffing, scraping, account creation abuse, inventory manipulation, spam, and application-layer attacks.
• Develop classification rules, behavioral indicators, and detection thresholds for automated traffic.
• Evaluate bot detection systems using precision, recall, false-positive rates, and other relevant performance metrics.
• Apply statistical analysis and machine learning techniques to identify unusual traffic patterns and emerging automation behaviors.
• Investigate traffic anomalies, suspicious request sequences, distributed bot activity, and changes in automation signatures.
• Collaborate with cybersecurity, data engineering, fraud prevention, and application development teams to improve traffic classification capabilities.
• Review bot mitigation policies and recommend proportionate controls for suspicious or abusive traffic.
• Analyze traffic trends across geographic regions, devices, networks, applications, and user sessions.
• Support the development of automated monitoring dashboards, classification pipelines, and incident alerting mechanisms.
• Conduct retrospective analysis of bot-related incidents and identify opportunities to improve detection accuracy.
• Maintain technical documentation covering classification logic, detection indicators, evaluation results, and model updates.
• Prepare reports explaining bot traffic trends, risk exposure, detection performance, and recommended improvements.
• Provide technical guidance to junior analysts and contribute to continuous improvement of bot detection practices.

Qualifications and Experience

• Bachelor's or master's degree in Computer Science, Cybersecurity, Data Science, Information Technology, Statistics, or a related field.
• Significant professional experience in bot detection, traffic classification, cybersecurity analytics, fraud prevention, or web application security.
• Strong understanding of HTTP/HTTPS protocols, web traffic patterns, APIs, session management, and application behavior.
• Experience analyzing access logs, network telemetry, request metadata, and behavioral traffic indicators.
• Knowledge of legitimate automation technologies, web crawlers, headless browsers, and malicious bot techniques.
• Proficiency in Python, SQL, or comparable programming and data analysis tools.
• Experience with machine learning classification, anomaly detection, statistical modeling, or behavioral analytics.
• Familiarity with web application security controls, rate limiting, web application firewalls, and bot management platforms.
• Understanding of IP reputation, proxy networks, browser fingerprinting, device signals, and traffic attribution limitations.
• Ability to evaluate classification performance and investigate false positives and false negatives.
• Experience developing detection rules, analytical dashboards, or automated data processing workflows.
• Knowledge of cybersecurity incident response and digital abuse investigation practices.
• Strong analytical, problem-solving, and technical documentation skills.
• Excellent communication and cross-functional collaboration abilities.
• Ability to work independently and manage multiple technical priorities in a fully remote environment.

What We Offer

• 100% remote working arrangement from within the applicable employment jurisdiction.
• Competitive compensation based on experience and technical expertise.
• Opportunities to work on advanced cybersecurity, fraud prevention, and traffic intelligence initiatives.
• Professional development in machine learning, behavioral analytics, and automated threat detection.
• Collaboration with international teams across cybersecurity, engineering, and data science.