ML Scientist

At OneSpan , we specialize in digital identity and anti-fraud solutions that create exceptional and secure experiences. We are looking for the first ML research hire on the team. Your job will be to turn our telemetry into new detection and prevention capabilities: from understanding the problem alongside the Security team, to ideating, prototyping, and validating models and algorithms on real data. We are not looking for someone who applies recipes. We are looking for someone who enjoys tackling an open problem with an adversary that adapts, and who can move comfortably between the paper and the working prototype.

Here is a little taste of your challenge:

Work side by side with the Security team to understand current and emerging attack techniques against mobile apps, and translate them into well-framed data problems. Explore and analyze our telemetry (datalake on ClickHouse and S3) to uncover signals, patterns, and anomalies with detection value. Design, prototype, and evaluate attack detection and prevention models: anomaly detection, classification with scarce labels, behavioral models, event time-series analysis. Define how success is measured: detection metrics, acceptable false-positive rates, and evaluation methodology when complete ground truth doesn't exist. Take validated prototypes toward production in collaboration with the engineering team, and lay the foundations (features, datasets, labeling processes) for the team's ML capability to grow. Stay current with research in ML applied to security (anomaly detection, adversarial ML, fraud) and bring actionable ideas.