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Lead Data Scientist Fraud Detection
Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listed on 2026-07-11
Toronto, Ontario, C6A, Canada
Listing for:
Rakuten
Remote/Work from Home
position Listed on 2026-07-11
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
As part of the Rakuten Rewards Trust & Safety team, you will manage fraud detection lifecycle. Your expertise in SQL, Python, and AI will help combat diverse fraud schemes, ensuring the safety and integrity of transactions. This impactful role allows you to innovate while protecting millions of members and merchant partners.
Key Responsibilities:
• Design fraud detection systems for real-time analysis
• Identify and model platform-specific fraud patterns
• Build automated workflows to enhance efficiency
• Develop KPI dashboards for senior stakeholders
• Mentor junior analysts in fraud detection techniques
Requirements:
• 5–7 years of experience in fraud analysis
• Active use of advanced AI models in practice
• Strong SQL and Python skills for model development
• Proven experience with fraud detection systems
• Familiarity with MLOps and cloud environments
Utilize your data science skills to lead fraud intelligence initiatives at Rakuten, safeguarding the rewards experience.
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