Join Mercury as a Data Scientist emphasizing Machine Learning, supporting the Risk team to combat fraud across multiple locations including San Francisco and New York. Leverage your extensive data analysis skills to enhance fraud detection and ensure a secure banking experience.

Mercury seeks a seasoned Data Scientist with a minimum of 7 years in data analysis and 5 years in machine learning. You will design and deploy ML models, monitor data quality, and lead cross-functional collaborations to boost financial crime defenses. This role is critical in safeguarding customer confidence and advancing Mercury’s strategic goals.

Key Responsibilities:
• Build and validate machine learning models for real-time fraud prevention
• Ensure data quality across analysis pipelines and tools




• Collaborate with teams to optimize model deployment
• Lead best practices in ML techniques and model governance
• Document, test, and monitor ML solutions for reliability

Requirements:
• 7+ years of experience in data analytics
• 5+ years of experience in machine learning
• Proficiency in SQL and Python
• Proven ability to manage imperfect data
• Robust leadership skills with a focus on collaboration

Maximize your impact at Mercury by applying your deep expertise in machine learning and data analytics.
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📌 Data Scientist Focused on Machine Learning (Manitoba)
🏢 Mercury Technologies
📍 Manitoba