Mercury is hiring a Senior Data Scientist dedicated to Risk and Fraud analysis. Work remotely or from cities like San Francisco as you utilize your expertise in data to minimize financial crime risk effectively.

In this key role, you will bring over 7 years of data experience, including 5 years in machine learning, to develop and deploy critical models. Collaborate with the Risk Strategy and Engineering teams to enhance fraud detection technologies, ensuring robust data quality across all models. Your contributions are essential to maintaining a trustworthy banking experience for customers.

Key Responsibilities:
• Develop machine learning models focused on fraud detection
• Lead cross-team collaborations for model applications




• Document and monitor model performance and data quality
• Implement best practices in ML model governance
• Guide team members in model prototyping and deployment

Requirements:
• 7+ years of analytics experience, 5+ in ML
• Proficient in SQL and Python programming
• Experience with data pipelines and ETL tools
• Ability to function in a fast-paced, evolving setting
• Experience in leading team initiatives and strategic alignments

Drive your career forward by influencing financial safety at Mercury with your analytical prowess in machine learning.
#J-18808-Ljbffr

📌 Senior Data Scientist - Risk and Fraud (Manitoba)
🏢 Mercury Technologies
📍 Manitoba