Tech Stack
Solid badges = required, outlined = preferred
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
Soft Skills
Machine LearningStatistical ModelingFraud DetectionIdentity VerificationAnomaly DetectionCybersecurityMentoringTechnical Decision-Making
Benefits
- Hybrid Work
Culture
Cross-Functional TeamsFast-PacedInclusive Hiring
Requirements
Required: Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a related quantitative field
Regions: Us
Get jobs like this in your inbox
Weekly Python, SQL, Spark hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Socure
Industry: saas
Size: medium
Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions.
View company profile →Similar Jobs
Senior Data Scientist - Digital Intelligence, Device Signals
Socure · Hybrid - US
Hybrid
Staff Data Scientist - Fraud & Risk
Socure · Hybrid - US
Hybrid
Data Scientist ll - Digital Intelligence
Socure · Hybrid - US
Hybrid
Staff Data Scientist - RiskOS
Socure · Hybrid - US
Hybrid
Senior Data Scientist - Fraud Data Infrastructure & Automation
Socure · Hybrid - US
Hybrid