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!
You will be the founding member of the Data Science team that we’re bootstrapping. You will work closely with one of our Product Managers who has a background in cybersecurity and a PhD in adversarial ML. You get to learn the domain from our many experienced security analysts, researchers and engineers working on both the detection and data systems side. This is a startup environment, so having high agency and a bias towards an iterative approach will help you thrive. This is not another GenAI thing!
In terms of existing tech stack: it is all AWS. Our data environment is Kafka, Fink, S3, Athena, Clickhouse. Most production applications, including detection systems are written in NodeJS. Notebooks are written in Jupyter with SageMaker tooling. We’re flexible on evolving our current tooling to suit future data science needs - which is a great opportunity for you to shape our direction.
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
4–6+ years in data science with exposure to a variety of problem domains
Production experience with unlabelled data, unsupervised learning or anomaly detection
You are strong in sampling, inference, uncertainty quantification and are comfortable with high volume time series data
Fluency with Python, ML libraries and SQL
Strong experience with transforming data in AWS environments and productionizing notebooks/pipelines
Excellent problem-solving and analytical skills, with attention to detail.
Strong communication and collaboration skills — able to influence, teach, and align diverse stakeholders
Advanced degree (Masters/PhD) in Computer Science, Data Science, or related field (preferred)
Background in cybersecurity, fraud detection, or adversarial ML (preferred)
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 A chance to solve massive, complex, real world problems in cybersecurity faced by our customers that cost millions and impact hundreds of millions of people’s livesFlexible working hours and arrangements - Create a schedule that suits youSupport for growing families - Generous parental leave allowances and return to work coachingResources for well-being to support your growth including our EAP - confidential counseling for you and your loved onesAn 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.
