Fraud Data Scientist
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Job Summary
Applying AI and machine learning analytics to large data sets, the full-time remote Fraud Data Scientist will uncover cybersecurity threats and fraud schemes, develop analytic solutions in Databricks using Python, SQL, and R, and present findings to stakeholders at all levels.
Key responsibilities
- Apply AI/ML analytic approaches to identify cybersecurity threats and fraud schemes
- Develop and report on analytic solutions using Databricks, Python, SQL, and R
- Present complex findings and recommendations to stakeholders, ensuring clarity for technical and non-technical audiences
Required qualifications
- Minimum of 8 years of experience in fraud analytics, data science, or AI/ML applied to cybersecurity
- Bachelor's degree in a relevant field or four additional years of relevant experience
- Expert-level experience in designing and deploying AI/ML solutions for fraud detection
- Proficiency in Python and SQL for data analysis and model development
- Hands-on experience with Databricks or a comparable cloud analytics platform
Complete Job Description
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