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Experian
„Experian“ bendradarbiauja su gerai žinomais prekių ženklais skaitmeninės patirties, technologijų ir verslo transformacijos srityse. Jos veikla apima klientų įžvalgas, produktų strategiją, lanksčius technologinius sprendimus, dirbtinį intelektą, debesijos architektūrą ir projektų valdymą, padedančius organizacijoms gerinti klientų patirtį ir efektyvinti veiklą. Platus įmonės dėmesys technologijoms ir konsultavimui gali sudominti specialistus, besidominčius skaitmeninės transformacijos, rinkodaros, logistikos ir susijusių verslo paslaugų sritimis.

Expert Data Scientist, Fraud Risk Detection at Experian (Remote, US)

Build and assess machine learning models and predictive features to detect fraud and identity risk at Experian. The role uses Python and PySpark and supports deployment in batch, retrospective, and real-time decisioning systems.

Aprašymas

  • Analyze large datasets and develop fraud labels through exploratory analysis
  • Identify fraud patterns, attack techniques, and behavioral signals
  • Turn unclear fraud and risk challenges into hypotheses, analysis plans, model specifications, and measurable success criteria
  • Build machine learning models to detect account-opening fraud, account takeover, and identity risk
  • Assess models using ROC/AUC, KS, Gini, precision and recall, fraud capture, false positives, customer friction, and prevented losses
  • Create and validate predictive features from identity, transaction, credit history, device, behavioral, temporal, velocity, network, and third-party data
  • Write efficient, well-tested Python and PySpark code
  • Work with teams to deploy models and features in batch, retrospective, or real-time decisioning systems
  • Track feature quality, model performance, population shifts, and changes in fraud patterns
  • Present analyses of model behavior, tradeoffs, risks, and recommendations
  • Apply data privacy, documentation, explainability, validation, and governance standards
  • Report to the Senior Manager of Fraud Analytics
  • Partner with senior data scientists and engineers from problem definition through feature engineering, experimentation, and deployment

Reikalavimai

  • At least three years of experience in data science, machine learning, statistical modeling, or a related quantitative field
  • Bachelor’s or advanced degree in computer science, statistics, engineering, data science, or another quantitative discipline
  • Hands-on experience developing models for fraud detection, identity risk, credit risk, financial crime, or other adversarial risks
  • Experience creating useful fraud-detection features
  • Proficiency in Python and PySpark
  • Experience writing modular, tested code for large datasets and distributed or cloud data systems
  • Experience with pandas, NumPy, scikit-learn, XGBoost, TensorFlow, or similar tools
  • Knowledge of supervised learning, model evaluation, feature selection, statistical inference, experimentation, and model calibration
  • Experience handling class imbalance, delayed or incomplete labels, changing attack patterns, and model drift
  • Experience deploying models to production beyond the experimentation stage
  • Meet applicable United States work authorization and employment requirements

Privalumai

  • Competitive compensation package and bonus plan
  • Medical, dental, and vision coverage, plus a matching 401(k)
  • Flexible work options, including remote, hybrid, or office-based work
  • Flexible time off, including volunteer time, vacation, sick leave, and 12 paid holidays
  • Comprehensive benefits package
  • Opportunity for variable pay
  • Inclusive, purpose-driven culture
  • Accommodation support for disabilities or special needs

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