Tech Stack
Responsibilities
- Develop machine learning features, models, and analytical methods for device, network, browser, mobile, session, and behavioral intelligence
- Work on scoped fraud and identity risk problems where data quality, labels, telemetry coverage, and product tradeoffs need careful analysis
- Build features from large-scale, high-cardinality, sparse, noisy, and platform-dependent telemetry
- Design and execute validation analyses, including train/test splits, holdout checks, leakage review, drift assessment, customer impact analysis, and feature stability review
- Partner with senior data scientists, engineering, product, risk, and platform teams to clarify requirements, prepare data, implement features, and support production rollout
Soft Skills
Machine LearningStatistical ModelingFeature EngineeringFraud DetectionIdentity VerificationCybersecurityCross-Functional CollaborationCode Review Culture
Benefits
- Hybrid Work
Culture
Code Review CultureCross-Functional TeamsFast-Paced
Requirements
Required: Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a related quantitative field, or equivalent practical experience
Regions: Us
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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.
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