Data Scientist II
Core
Develop intelligent systems to prevent fraud by assessing transaction and customer interaction risk while minimizing impact on user experience.
Role type
Embedded data scientist (fraud prevention)
Builds
Intelligent fraud prevention systems and risk decision policies
Domain
Fintech / Fraud detection
Deliverable
production ML models
Required skills
SQL, Python, R, statistical analysis, machine learning, dashboard creation, A/B experiment design
Preferred skills
Tableau, Power BI, Mode
Technologies
Tableau, Power BI, Mode
Responsibilities
Discover and deliver fraud signals to improve model performance; Manage and assess risk decision policies; Design metrics and dashboards to communicate model efficacy; Design and conduct A/B experiments; Partner with ML engineers on feature integration
Seniority
Mid-level, hands-on IC
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