Senior Data Scientist, ML— Fraud Detection & Effectiveness

Job Description

• Senior-level Machine Learning Data Scientist at Adobe focused on fraud and abuse detection in a hybrid role based in Seattle, WA, with at least 3 days per week in the office.
• Build, tune, evaluate, monitor, and improve production ML models, datasets, metrics, and mitigation strategies across the fraud lifecycle.
• Analyze false positives/negatives, model drift, emerging fraud patterns, leakage, bias, data-quality issues, customer impact, and fraud loss.
• Requires 8+ years of applied Data Science/ML experience, strong Python and SQL skills, and a bachelor's degree or equivalent experience in Statistics, Mathematics, Computer Science, or a related field.
• Full-time compensation is $133,100–$236,400 annually in the U.S.; Washington pay range is $157,900–$228,575, with ongoing applications and no stated deadline.