Staff Data Scientist - Digital Intelligence

Tech Stack

Responsibilities

• Lead high-impact machine learning and feature-development initiatives across device, network, browser, mobile, session, and behavioral intelligence
• Develop production risk signals and models that balance fraud detection, false-positive risk, coverage, latency, explainability, and robustness
• Build and guide scalable feature-engineering approaches for high-cardinality, sparse, noisy, and platform-dependent telemetry
• Define evaluation methods for signals, including holdout design, leakage checks, drift monitoring, adversarial robustness, and stability
• Mentor data scientists by improving problem framing, modeling judgment, validation rigor, and code quality

Culture

Requirements