Senior Data Scientist

About Kasada

Join us in stopping bad bots, for good! Kasada protects millions of online users everyday. Founded to stop automated bot attacks, we believe the internet should be a safe place for everyone. Bad bots are highly destructive. They take over accounts, steal content, overload systems and infrastructure and cause billions of dollars in damages every year. Seeking to restore trust in the internet, Kasada stops bots at the very first request including those that have never been seen before.

We’ve grown from a few friends working out of a shipping container under the Sydney Harbour Bridge to now operating globally, we’re spread across the world protecting some of the most well-known brands on the face of the earth.

We’re an innately curious team that’s not afraid to bring bold ideas to create better ways of solving problems. We’re looking for people who are passionate about solving some of the most difficult and pressing cybersecurity issues, while having fun doing it!

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.

The Benefits Of Being a Kasadian

We want to ensure Kasada remains a great place to work and a place to do great work. It's important to us to build an inclusive environment where you can realize your full potential. We are a highly collaborative team regardless of location, placing a strong emphasis on our core values; and we have designed our benefits package so you can thrive, both inside and outside of work:

• 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

Sound interesting? What’s next?

Hit the apply button and one of our team will set up an exploratory, confidential discussion. We have designed our hiring process to be streamlined and thorough so everyone can make the right call on whether it is the right move for you. We are an inclusive team and this extends to all candidates that interview with us. Interviews are conducted virtually however if you want to come onsite - just ask! When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process, we want to ensure you are set up for success in every conversation.

Still with us? Just a little bit more…

Research shows that women and other marginalized individuals tend to only apply when they check every box. We’re always keen to broaden our perspective, so if you think you have what it takes, but don't necessarily meet every single point above, please still get in touch, we'd love to have a chat and see if you could be a great addition to the team!

Please note: Kasada is an e-verify employer (US based applicants only)