Staff Data Scientist - Digital Intelligence

📋 Description

• Lead ML and feature development across device, network, browser, and behavior data.
• Drive production risk signals for fraud and identity risk decisions.
• Build scalable feature engineering for high-cardinality telemetry.
• Investigate spoofing, proxies, and telemetry gaps in signals.
• Define evaluation methods: holdout, drift, robustness, impact.
• Influence telemetry collection and data contracts with Eng, Risk, Product.

🎯 Requirements

• Master’s or Ph.D. in CS, ML, statistics, or related field.
• 12+ years in data science, ML, or risk modeling.
• Strong fraud/identity risk background; adversarial data domain.
• Expert SQL with large-scale datasets.
• Proficient in Python and Spark/PySpark.
• Deep knowledge of supervised/unsupervised learning and evaluation.

🎁 Benefits

• Shape and lead Socure's Digital Intelligence signals in production.
• Mentor data scientists and drive high-impact technical decisions.
• Inclusive, equal-opportunity employer and supportive culture.