Senior Data Scientist

October 24

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Kasada

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Cybersecurity • SaaS

Kasada is a security company specializing in protecting digital experiences from automated threats and online fraud. Their solutions focus on preventing bot attacks and safeguarding platforms without causing disruptions for real users. Kasada’s defense mechanisms adapt quickly to evolving threats, making them difficult to evade. They provide invisible protection for websites, mobile applications, and APIs, and emphasize ease of use by minimizing management overhead for their clients. Kasada’s technology aims to increase business efficiency by eliminating fake traffic, thereby reducing latency, downtime, and operational costs. Their approach focuses on understanding the adversaries to build resilient defenses against automated attacks.

51 - 200 employees

🔒 Cybersecurity

☁️ SaaS

💰 $23M Series C on 2021-12

📋 Description

• Develop, train, and deploy ML models to detect automation and fraud across large-scale, high-velocity traffic. • Explore massive datasets to identify anomalies, uncover new adversarial behaviours, and anticipate attack vectors. • Build and maintain scalable pipelines and frameworks that can handle real-time detection in adversarial environments. • Collaborate closely with engineers, researchers, and product managers to operationalise models and integrate them into Kasada’s platform. • Design experiments to rigorously evaluate detection effectiveness and resilience against attacker adaptation. • Stay on the cutting edge of adversarial ML and cybersecurity, translating research into practical defence capabilities. • Communicate insights and outcomes clearly, ensuring technical and business stakeholders can act on findings.

🎯 Requirements

• Strong expertise in machine learning, statistics, and anomaly detection methods. • Proficiency with Python and ML libraries (pandas, scikit-learn, PyTorch/TensorFlow). • Hands-on experience with big data platforms (such as Flink and Spark). • Proven ability to work with AWS services for large-scale data processing and ML deployment. • Comfort with messy, high-volume datasets and designing scalable, production-ready solutions. • Excellent problem-solving and analytical skills, with sharp attention to detail. • Background in cybersecurity, fraud detection, or adversarial ML (preferred). • Familiarity with real-time frameworks (Kafka, Kinesis) and advanced detection methods (clustering, graph analysis). • Strong communication and collaboration skills — able to influence, teach, and align diverse stakeholders. • Advanced degree (MSc/PhD) in Computer Science, Data Science, or related field is a plus.

🏖️ Benefits

• A stake in Kasada’s global success with equity/stock options • Flexible working hours and arrangements - Create a schedule that suits you • Support for growing families - Generous parental leave allowances and resources to help in the lead up, during and after parental leave. • Resources for well-being to support your growth including our EAP - confidential counselling for you and your loved ones • Birthday leave • Wellness leave • An action packed calendar of fun in-person and virtual events