Senior Data Scientist – Adversarial

Accountabilities • Lead investigations into complex false positives, false negatives, customer escalations, and other challenging security detection issues.

• Analyze large-scale traffic data, behavioral signals, request signatures, and security telemetry to identify suspicious patterns and detection gaps.

• Determine root causes and develop targeted improvements through rule tuning, threshold adjustments, and feature enhancements.

• Examine historical security cases to identify recurring issues, emerging attack techniques, and opportunities for improved detection.

• Develop and refine detection approaches for previously unmitigated, evolving, or sophisticated threats.

• Document investigation results, technical findings, and recommended actions through clear and actionable research tickets.

• Collaborate with professional services, security operations, account teams, and data science groups to resolve complex security challenges.

• Contribute insights from investigations to longer-term product strategy and security detection innovation.

Requirements

• 8+ years of relevant professional experience, supported by a bachelor's degree or equivalent practical experience.

• Strong experience working with large datasets using Python and SQL; experience with Go is an advantage.

• Solid knowledge of statistics, probability, data analysis, machine learning, and clustering techniques.

• Demonstrated ability to investigate complex technical problems, identify root causes, and develop effective solutions.

• Professional experience in areas such as bot detection, fraud prevention, account takeover, scraping detection, application security, or related security domains.

• Strong understanding of web and network technologies, including HTTP, TCP/IP, DNS, TLS/SSL, and web application architectures.

• Strong analytical thinking, troubleshooting abilities, and attention to detail.

• Excellent written and verbal communication skills, with the ability to explain complex technical findings clearly to both technical and cross-functional stakeholders.

• Ability to collaborate effectively across data science, security, operations, customer-facing, and engineering teams.

Benefits

• Permanent workplace flexibility with the ability to work from home, from an office, or through a combination of both within India.

• Flexibility designed to support different working preferences and individual circumstances.

• Opportunity to work on advanced security challenges involving large-scale traffic, adversarial behavior, and emerging attack techniques.

• Strong exposure to data science, machine learning, application security, threat analysis, and modern security technologies.

• Opportunity to take ownership of complex investigations and contribute directly to security product improvements.

• Collaborative environment involving data scientists, security specialists, operations teams, professional services, and customer-facing groups.

• Opportunity for continued technical growth and career development within a global technology environment.

• Immediate opportunity with the role currently based in Bengaluru, India.

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