Staff Data Scientist — Digital Fraud & Identity

Socure; Seattle (WA); On-site; USD 191,000 - 230,000; Full time

Job summary

Socure is seeking a Staff Data Scientist to lead the Digital Intelligence team. You will turn noisy telemetry into production-grade risk signals and provide technical leadership across fraud and identity risk detection.

This hands‑on role requires shaping signal strategy, evaluation methods, and production rollout while guiding a team of data scientists. You will work with engineering, product, risk, and platform partners to raise standards for model validation, explainability, and

Qualifications

• Advanced degree in CS/ML/statistics or related field.
• 12+ years in data science or ML roles.
• Experience building and deploying production ML models.
• Strong fraud detection/identity verification domain knowledge.
• Expert SQL and experience with large-scale datasets.
• Proficient Python and Spark/PySpark.

Responsibilities

• Lead high-impact ML and feature‑development initiatives across telemetry and signals.
• Own ambiguity in fraud/identity risk problems with data quality and adversarial considerations.
• Develop production signals and models balancing detection, false positives, latency, explainability, and maintainability.
• Build scalable feature engineering for high-cardinality, noisy telemetry.
• Define evaluation methods for signals, drift, and long-term stability.
• Influence telemetry collection, data contracts, and production readiness with partner teams.
• Translate product and risk questions into measurable hypotheses and roadmaps.
• Mentor data scientists to improve problem framing and validation.

Skills

SQL

Python

Spark/PySpark

Machine Learning

Production ML

Fraud/Identity

Communication

Mentorship

Telemetry/Instrumentation

Education

Master’s or PhD in CS/ML/Statistics/Data Science or related

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

Job description

Socure is seeking a Staff Data Scientist to lead the Digital Intelligence team. You will turn noisy telemetry into production-grade risk signals and provide technical leadership across fraud and identity risk detection.

This hands‑on role requires shaping signal strategy, evaluation methods, and production rollout while guiding a team of data scientists. You will work with engineering, product, risk, and platform partners to raise standards for model validation, explainability, and