Staff Data Scientist, Digital Identity & Intelligence

Socure Inc.; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Job summary

Socure is the leading provider of digital identity verification and fraud prevention solutions. We seek a Staff Data Scientist to join our Digital Intelligence team and turn telemetry into production-grade risk signals.

This hands-on leadership role shapes signal strategy, evaluation methods, data contracts, and model monitoring, partnering with engineering, product, risk, and platform teams to deliver robust, scalable fraud-detection solutions.

Qualifications

• Master’s or Ph.D. in a quantitative field.
• 12+ years of data science or ML experience.
• Experience building production ML models and risk signals.
• Strong fraud detection, identity verification, or adversarial data domain background.
• Expert SQL skills with large, complex datasets.
• Proficient in Python and Spark/PySpark.
• Ability to translate fraud-risk questions into data science solutions.
• Excellent communication and mentoring skills.

Responsibilities

• Lead high-impact ML and feature development across telemetry signals.
• Own ambiguous fraud and identity risk problems with data quality and tradeoffs.
• Develop production risk signals balancing detection, latency, explainability.
• Guide scalable feature engineering for high-cardinality telemetry.
• Define evaluation methods including leakage checks and drift monitoring.
• Influence telemetry collection and data contracts with cross-functional teams.
• Mentor data scientists and raise standards for model validation.

Skills

SQL

Python

Spark/PySpark

Machine learning

Fraud detection

Risk modeling

Data storytelling

Education

Master’s or Ph.D. in quantitative field

Advanced degree in CS/ML/Statistics/Data Science

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

Job description

Socure is the leading provider of digital identity verification and fraud prevention solutions. We seek a Staff Data Scientist to join our Digital Intelligence team and turn telemetry into production-grade risk signals.

This hands-on leadership role shapes signal strategy, evaluation methods, data contracts, and model monitoring, partnering with engineering, product, risk, and platform teams to deliver robust, scalable fraud-detection solutions.