Senior Data Scientist - Digital Intelligence, Device Signals

Socure
San Francisco, New York, Seattle
Workplace: HybridFull timeUSD 191,000 - 230,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: mastersSkills: ["Communication","Collaboration"]

Build and deploy machine learning models for digital identity verification and fraud prevention using device, network, and behavioral signals. You’ll design ML systems for device identification and anomaly detection, develop scalable data pipelines and production ML workflows, and investigate adversarial fraud indicators. Partner with engineering, product, and risk teams to shape data architecture, drive experiment design and A/B testing, and communicate results through dashboards for technical and executive audiences.

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Socure
Socure
4 days ago

Senior Data Scientist - Digital Intelligence, Device Signals

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and deploy machine learning models for digital identity verification and fraud prevention using device, network, and behavioral signals. You’ll design ML systems for device identification and anomaly detection, develop scalable data pipelines and production ML workflows, and investigate adversarial fraud indicators. Partner with engineering, product, and risk teams to shape data architecture, drive experiment design and A/B testing, and communicate results through dashboards for technical and executive audiences.
Location: San Francisco, New York, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and deploy machine learning systems for device identification, anomaly detection, and fraud prevention.
  • •Develop scalable data pipelines and production ML workflows using structured and unstructured telemetry (browser, mobile, session data).
  • •Investigate high-complexity fraud signals (e.g., emulator use, spoofing, low-entropy fingerprints) using statistical methods and domain knowledge.
  • •Translate ambiguous business problems into modeling approaches using supervised, unsupervised, and heuristic techniques.
  • •Partner with engineering, product, and risk teams on data architecture decisions and signal collection; drive experiment design and validation frameworks.

Pay and Benefits

Salary: USD 191,000 - 230,000 annually
Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • •6+ years of experience in data science or applied machine learning, including experience working in production environments.
  • •Excellent SQL skills with experience in large-scale databases and data modeling.
  • •Proven track record deploying and maintaining ML models in live systems, ideally with streaming or near-real-time data.
  • •Proficiency in Python and distributed computing tools (e.g., Spark, PySpark), plus experience with ML frameworks such as scikit-learn, XGBoost, or TensorFlow.
Experience:6+ yearsDigital identityFraud detectionApplied machine learningProduction MLDevice signals
Education:Master's
Skills:CommunicationCollaboration
Tech Stack:PythonSQLSparkPySparkScikit-learnXGBoostTensorFlowA/B testingDashboards

Company Brief

Socure
Provides AI-driven digital identity verification and fraud prevention solutions that analyze device, behavioral, and contextual data to detect synthetic identities, stop account takeover, and enable secure onboarding for banks, fintechs, and enterprises.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: New York, United States
Founded: 2012
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn