Staff Data Scientist - Digital Intelligence

Posted

SocureHybrid - USHybridfull_timestaff

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