Senior Data Scientist
Expired
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Kasada
Australia
remoteFull Time
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Posted 8 months ago
This role is expired
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Job Description
What You Will Be Doing
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.
- 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.