Staff Data Scientist: Digital Intelligence & Fraud Risk

Socure; New York (NY); On-site; USD 191,000 - 230,000; Full time

Job summary

Socure is seeking a Staff Data Scientist to lead the Digital Intelligence team in turning high‑scale telemetry into production fraud and identity risk signals. This hands‑on technical leadership role focuses on ambiguous signal development, rigorous evaluation, and setting the technical direction for trustworthy device and session risk management.

You will mentor data scientists, influence telemetry and data contracts, and collaborate with engineering, product, risk, and platform teams to

Qualifications

• Advanced degree in a quantitative field (MS/PhD) required.
• 12+ years of data science or related experience.
• Experience building and deploying production ML models and risk signals.
• Strong background in fraud detection and identity verification.
• Expert SQL skills with large, complex datasets.
• Proficient in Python and distributed processing (Spark/PySpark).

Responsibilities

• Lead high‑impact ML and feature development across telemetry.
• Own ambiguous fraud and identity risk problems with evaluation.
• Develop production risk signals balancing detection and latency.
• Build scalable feature engineering for high‑cardinality telemetry.
• Define evaluation methods for signal stability and robustness.
• Influence telemetry collection and data contracts with teams.
• Translate questions into data science approaches with roadmaps.
• Mentor data scientists to improve framing and validation.
• Communicate tradeoffs to stakeholders.
• Raise standards for explainability and governance.

Skills

Machine learning

Fraud detection

Communication

Mentorship

Data modeling

Production ML

Education

Master’s or Ph.D. in Computer Science / ML / Data Science

Tools

SQL

Python

Spark

PySpark

Job description

Socure is seeking a Staff Data Scientist to lead the Digital Intelligence team in turning high‑scale telemetry into production fraud and identity risk signals. This hands‑on technical leadership role focuses on ambiguous signal development, rigorous evaluation, and setting the technical direction for trustworthy device and session risk management.

You will mentor data scientists, influence telemetry and data contracts, and collaborate with engineering, product, risk, and platform teams to