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Fraud Intelligence Senior Data Scientist

Job in Toronto, Ontario, C6A, Canada
Listing for: Rakuten Rewards
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Lead innovative fraud detection efforts at Rakuten International as a Senior Data Scientist in Fraud Intelligence. Engage with cutting-edge AI technology to drive impactful fraud prevention solutions.

Your role will encompass the entire fraud detection lifecycle within the Rakuten Rewards Trust & Safety team. With 5-7 years of experience, you will create and deploy systems to combat various fraud types including referral gaming and cashback manipulation. Use your strong skills in Python and SQL to build effective machine learning models and deliver risk assessments in real-time across the platform.

Key Responsibilities:

• Design real-time fraud detection systems across member lifecycle

• Identify abuse patterns using advanced modeling techniques

• Automate workflows to enhance investigation speed

• Create dashboards for data-driven insights

• Mentor junior analysts in fraud detection methodologies

Requirements:

• Proven fraud detection modeling experience

• Hands-on with SQL and Python for effective data analysis

• Familiarity with decision rules and ML models

• Strong presentation skills for stakeholder communication

• Experience with Snowflake or similar cloud data warehouses

Make a significant impact in fraud detection efforts alongside Rakuten's dedicated teams.
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Position Requirements
10+ Years work experience
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