Senior Data Scientist, Fraud Risk Detection

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $92.6k - $160.4k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• 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 • Work with senior data scientists and engineers from problem definition through feature engineering, experimentation, and deployment

🎯 Requirements

• 3+ 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 the 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 data privacy, model documentation, explainability, validation, and governance standards

🏖️ Benefits

• Great compensation package and bonus plan • Core benefits including medical, dental, vision, and matching 401K • Flexible work environment, 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