Data Scientist ll - Digital Intelligence

Socure
San Francisco, Seattle, New York, Miami
Workplace: HybridFull timeUSD 140,000 - 170,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Analytical judgment","Clear communication","Independent execution","Partnering","Code review"]

Build production-oriented fraud and identity risk signals for digital identity verification using machine learning features and analytical methods. Work with high-cardinality telemetry across device, network, browser, mobile, session, API, and behavioral data to detect spoofing, automation, proxy/VPN usage, and telemetry gaps. Validate models with robust train/test, drift, leakage, and customer-impact analyses, and partner with engineering, product, and risk teams to roll out improvements.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Socure
Socure
1 month ago

Data Scientist ll - Digital Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build production-oriented fraud and identity risk signals for digital identity verification using machine learning features and analytical methods. Work with high-cardinality telemetry across device, network, browser, mobile, session, API, and behavioral data to detect spoofing, automation, proxy/VPN usage, and telemetry gaps. Validate models with robust train/test, drift, leakage, and customer-impact analyses, and partner with engineering, product, and risk teams to roll out improvements.
Location: San Francisco, Seattle, New York, Miami
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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, analyzing data quality, labels, telemetry coverage, and product tradeoffs.
  • •Build features from large-scale, high-cardinality, sparse, noisy, and platform-dependent telemetry.
  • •Analyze fraud/identity signal patterns (spoofing, emulator behavior, automation, proxy/VPN usage, low-entropy fingerprints, telemetry gaps, fragmentation) and distinguish signal from data artifacts.
  • •Design and execute validation analyses (train/test splits, holdouts, leakage review, drift assessment, customer impact, feature stability) and partner for production rollout and documentation.

Pay and Benefits

Salary: USD 140,000 - 170,000 annually
Equity and Bonus:Equity
Perks:Annual BonusEquity

Key Requirements

  • •Bachelor’s, Master’s, or Ph.D. in a quantitative field (Computer Science, Machine Learning, Statistics, Mathematics, Data Science) or equivalent practical experience.
  • •5+ years of data science/applied machine learning/statistical modeling/analytics engineering experience.
  • •Experience building, evaluating, and improving machine learning models, features, analytical pipelines, or risk signals.
  • •Strong SQL skills working with large-scale, complex datasets.
  • •Strong Python skills (pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch) plus distributed data processing experience (Spark/PySpark/Databricks).
Experience:5+ yearsFraud detectionIdentity verificationDigital intelligenceMachine learningRisk modeling
Education:
Skills:Analytical judgmentClear communicationIndependent executionPartneringCode review
Tech Stack:PythonSQLPandasNumPyScikit-learnXGBoostTensorFlowPyTorchSparkPySparkDatabricksMachine learningSupervised learningUnsupervised learningFeature engineeringModel evaluationExperiment analysis

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