Data Scientist ll - Digital Intelligence

Posted

SocureHybrid - USHybridfull_timemid

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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