Senior ML Scientist — Fraud Detection & Impact

Adobe; Texas; Hybrid; USD 133,000 - 236,000; Full time

Job summary

Adobe is seeking a Senior Data Scientist, ML—Fraud Detection & Effectiveness to build and measure fraud models and quantify business impact. The role blends hands-on modeling with rigorous experimentation, evaluation, and analytics for detection efficiency.

You will work across the fraud lifecycle—from ground-truth definition to performance measurement, monitoring, and executive-ready insights. This role requires strong Python/SQL skills and a track record of production ML success.

Qualifications

• 8+ years in applied Data Science / ML with production ML model experience.
• Strong foundation in statistics and classical ML, experimentation, evaluation, and performance measurement.
• Proficient in Python and SQL with large, complex datasets.
• Experience with model monitoring, drift analysis, and handling imperfect labels.
• Strong data visualization and storytelling skills for insights and recommendations.
• Independent ownership and ability to operate through ambiguity.
• Bachelor’s or equivalent in Statistics, Mathematics, CS; advanced degree a plus.

Responsibilities

• Build and tune ML models for fraud and abuse detection using statistical and ML techniques.
• Develop evaluation frameworks, datasets, and metrics to measure effectiveness.
• Analyze false positives/negatives, model drift, and fraud patterns to improve detection.
• Define ground truth, labeling approaches, and fraud taxonomies for reliable evaluation.
• Design experiments and evaluate tradeoffs across precision, recall, and business impact.
• Build dashboards and metrics translating detection performance into business value.
• Identify data quality issues and leakage; mitigate bias and misleading results.
• Collaborate with engineering, product, policy, and risk teams to drive improvements and decisions.

Skills

Fraud detection & abuse

ML model evaluation

Python

SQL

Experimentation

Ground-truth labeling

Data storytelling

Education

Bachelor’s or equivalent in Statistics/Math/CS

Tools

Python

SQL

Job description

Adobe is seeking a Senior Data Scientist, ML—Fraud Detection & Effectiveness to build and measure fraud models and quantify business impact. The role blends hands-on modeling with rigorous experimentation, evaluation, and analytics for detection efficiency.

You will work across the fraud lifecycle—from ground-truth definition to performance measurement, monitoring, and executive-ready insights. This role requires strong Python/SQL skills and a track record of production ML success.