Job Description
A company is looking for a Data Scientist, Risk & Fraud.
Key Responsibilities
Translate complex data into actionable recommendations for fraud prevention
Design and evaluate feature rollouts to combat fraudulent activities on the platform
Build dashboards and data tools to enhance data accessibility and quality across teams
Required Qualifications
5+ years of experience in the data field, with 3+ years in anti-fraud or risk analytics
Bachelor's degree in Computer Science, Economics, Statistics, Cybersecurity, or related field
Advanced SQL skills and experience with modern data warehouses and tools
Proficiency in Python or R for data analysis and modeling
Experience leading cross-functional projects and influencing data-driven strategies
Min Qualification
• 5+ years of experience in the data field, with 3+ years in anti-fraud or risk analytics
• Bachelor's degree in Computer Science, Economics, Statistics, Cybersecurity, or related field
• Advanced ...
• 5+ years of experience in the data field, with 3+ years in anti-fraud or risk analytics
• Bachelor's degree in Computer Science, Economics, Statistics, Cybersecurity, or related field
• Advanced SQL skills and experience with modern data warehouses and tools
• Proficiency in Python or R for data analysis and modeling
• Experience leading cross-functional projects and influencing data-driven strategies
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Applying Instructions
• Talent.com
• Talent.com
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