Step into an impact-driven role as a Machine Learning Data Scientist at Mercury. Contribute from San Francisco, New York, or remotely to enhance our Risk team and streamline fraud prevention strategies.

With more than 7 years of experience in data analytics and machine learning, you will focus on developing comprehensive models that detect and reduce fraud. Your responsibility will also encompass ensuring data reliability and collaborating with multiple teams for optimal model deployment. Your role will be significant in fortifying Mercury’s fraud defenses while advancing innovative banking solutions.

Key Responsibilities:



• Create and implement machine learning models for fraud detection • Maintain data quality across analytics pipelines • Collaborate with Risk and Engineering teams on model input • Lead best practices for testing and monitoring models • Guided mentorship for team members through ML solutions

Requirements: • 7+ years in data analysis and 5+ in machine learning • Proficient in SQL and Python • Experience with model deployment and observability • Excellent collaboration skills with diverse teams • Ability to lead and empower team members through models

Utilize your data science expertise to drive creative risk management solutions at Mercury.

📌 Machine Learning Data Scientist at Mercury (Winnipeg)
🏢 Mercury Technologies
📍 Winnipeg