Senior Data Scientist at Kasada

At Kasada, we are on a mission to eliminate bad bots for good. We protect millions of users every day by stopping automated attacks at the very first request, even when those threats have never been seen before. What started as a small team working out of a shipping container under the Sydney Harbour Bridge has evolved into a global operation, defending some of the most recognizable brands in the world. We are a curious, bold, and collaborative group dedicated to solving the most pressing challenges in cybersecurity while maintaining a fun and inclusive environment.

Key outcomes

• Develop, train, and deploy machine learning models designed to identify fraud and automation within high-velocity, large-scale traffic.
• Analyze massive datasets to uncover new adversarial behaviors, detect anomalies, and predict future attack vectors.
• Engineer and maintain robust, scalable pipelines capable of real-time detection in adversarial environments.
• Work alongside researchers, engineers, and product managers to operationalize models and integrate them directly into our platform.
• Create experimental designs to rigorously test the resilience and effectiveness of our detection methods against evolving threats.
• Keep pace with the latest developments in adversarial machine learning and cybersecurity to turn research into practical defense strategies.
• Translate complex technical insights into clear findings for both business and technical stakeholders.

Requirements

• Deep expertise in statistics, machine learning, and anomaly detection techniques.
• Strong proficiency in Python and essential ML libraries such as PyTorch, TensorFlow, pandas, and scikit-learn.
• Practical experience working with big data platforms like Spark.
• Demonstrated ability to utilize AWS services for deploying machine learning solutions and processing large-scale data.
• Experience building production-ready, scalable solutions while navigating messy, high-volume datasets.
• Excellent analytical and problem-solving skills with a high degree of attention to detail.
• Strong communication abilities, allowing you to influence and align diverse teams.
• Fluency in English.

Preferred qualifications

• A background in cybersecurity, adversarial machine learning, or fraud detection.
• Familiarity with real-time data frameworks such as Kafka or Kinesis.
• Knowledge of advanced detection methods, including graph analysis and clustering.
• An advanced degree, such as an MSc or PhD, in Data Science, Computer Science, or a related field.

Compensation

We believe in supporting our team members both inside and outside of the office. Our benefits package includes:

• Equity compensation to ensure you have a stake in our global success.
• Flexible working hours that allow you to create a schedule that fits your life.
• Comprehensive maternity and paternity leave to support growing families.
• An employee assistance program providing confidential counseling for you and your loved ones.
• Dedicated wellness programs and leave to prioritize your health.
• The ability to work remotely.

How to apply

If this sounds like the right challenge for you, please click the apply button to begin the process. We prioritize a streamlined and thorough hiring experience, starting with an exploratory, confidential conversation. We are an inclusive team and encourage you to share your pronouns or any adjustments you may need during the interview process. If you do not meet every single requirement listed but feel you have the skills to make a difference, we still encourage you to reach out, as we are always looking to broaden our perspectives.