Senior ML Scientist — Fraud Detection & Impact

Adobe; San Jose (CA); Hybrid; USD 163,000 - 236,000; Full time

Benefits offered by this job

Hybrid work model

Accommodations for disabilities

Job summary

Adobe is seeking a Senior Data Scientist, ML for Fraud Detection & Effectiveness to build and evaluate production fraud models. You will define ground truth, set up experiments, and quantify business impact across the fraud lifecycle.

You will collaborate with engineering, product, policy, and risk teams while operating in a hybrid schedule with office days in California. Strong skills in Python/SQL, statistics, and model monitoring are essential.

Qualifications

• 8+ years of applied DS/ML with production models.
• Strong stats and ML evaluation fundamentals.
• Proficient Python and SQL with large datasets.
• Experience in model monitoring and drift analysis.

Responsibilities

• Build and tune ML models for fraud/abuse detection.
• Develop robust evaluation frameworks and metrics.
• Analyze false positives/negatives and drift.
• Define ground truth labeling and fraud taxonomies.
• Design experiments comparing precision, recall, and impact.
• Create dashboards translating performance to business impact.
• Partner with eng, product, policy, risk to drive improvements.

Skills

Python

SQL

Model evaluation

Experimentation

Data visualization

Fraud domain experience

Independent ownership

Education

Bachelor's in Statistics/Math/CS

Tools

scikit-learn

TensorFlow/PyTorch

Dashboards (BI)

Job description

Adobe is seeking a Senior Data Scientist, ML for Fraud Detection & Effectiveness to build and evaluate production fraud models. You will define ground truth, set up experiments, and quantify business impact across the fraud lifecycle.

You will collaborate with engineering, product, policy, and risk teams while operating in a hybrid schedule with office days in California. Strong skills in Python/SQL, statistics, and model monitoring are essential.