Senior Data Modeler, Fraud Risk Detection

🕒 Setembro 25

🏄 California – Remoto

🏄 California – Remote

💵 $82.644 - $143.249 / ano

⏰ Tempo Integral

🟠 Sênior

🎲 Riscos

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 0%

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Experian

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1996

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A Experian libera o poder dos dados para criar oportunidades para consumidores, empresas e a sociedade.

Descrição

• Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals • Translate fraud questions into testable hypotheses with senior data scientists • Help build machine learning models for fraud detection across account opening, account takeover, and identity risk • Evaluate models using technical and business metrics including precision, recall, fraud capture rate, false-positive rate, and customer friction • Develop and validate features using identity, transactional, behavioral, and other data sources • Write clean, well-tested code and work with engineering to bring models and features into production • Partner with the score monitoring team on model and feature monitoring • Support research on related client questions • Prepare analyses and communicate findings to technical and nontechnical audiences • Report to the Sr. Manager of Fraud Analytics

🎯 Requisitos

• 1+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field • Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline • Foundation in supervised learning, model evaluation, feature selection, statistical inference, classification, and anomaly detection • Proficiency in Python, with ability to write clean, readable, and well-tested code • Familiarity with pandas, NumPy, and scikit-learn • Investigative mindset and ability to move from unusual data patterns to testable hypotheses • Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools • Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry through coursework, internship, or prior work • Must comply with Experian's standards for data privacy, model documentation, explainability, validation, and governance

🏖️ Benefícios

• Great compensation package and bonus plan • Core benefits including medical, dental, vision, and matching 401K • Flexible work environment, with ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, sick, and 12 paid holidays • Comprehensive benefits package • Variable pay opportunity • Inclusive and purpose-driven culture • Accommodation support for disabilities or special needs