Adobe
Senior Data Scientist, ML— Fraud Prevention
$133K–$236K
San Jose +5 · Senior · Full-time · Posted Oct 7, 2026
- Location
- San Jose
Austin
Seattle
New York
Chicago
Washington D.C. - Experience
- 8+ years in applied Data Science / ML.
- Education
- Bachelor's or equivalent experience in Statistics, Mathematics, Computer Science, or related field; advanced degree a plus.
About the job
Build and evaluate fraud and abuse detection models, monitor their effectiveness, and translate performance into business insights and decisions.
What you'll do
- Build and tune detection models; develop evaluation frameworks, datasets, and metrics.
- Analyze errors, drift, and emerging fraud; define ground truth, labeling, and fraud taxonomies.
- Design experiments, measure business impact, and partner with cross-functional teams to improve detection.
What they ask for
- Production ML model-building and evaluation experience.
- Strong foundation in statistical and classical ML, experimentation, model evaluation, and performance measurement.
- Hands-on Python and SQL skills with large, complex datasets.
- Experience with monitoring, drift, false-positive/false-negative analysis, and imperfect or delayed labels.
Nice to have
- Experience in fraud, abuse, risk, identity, trust & safety, or other adversarial domains.
- Experience with anomaly detection, labeling approaches, LLMs, or multi-layered risk controls.
Pay
$133,100 - $236,400 annually USD base salary; $163,200 - $236,400 USD base salary; $163,200 - $236,400 USD base salary; $149,100 - $216,000 USD base salary; $157,900 - $228,575 USD base salary
Tools
Python, SQL, LLMs
AI focus
Build ML models for fraud and abuse detection; preferred familiarity with LLMs and AI-assisted evaluation/analysis.
Model-written summary · the original posting is authoritative