Kasada

Senior Data Scientist

Job Description



What You Will Be Doing
  • 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.

    • What You’ll Bring
  • 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.

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