Senior ML Scientist — Fraud Detection & Impact
jobleadsusSan Jose (CA)
Senior ML Scientist — Fraud Detection & Impact
Posted today
jobleadsusSan Jose (CA)
SENIORITY
Senior
About the role
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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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