Staff Data Scientist

📋 Description

• Build, validate, and deploy machine learning models to identify and prevent fraud in real time.
• Support the reproducibility and robustness of said models through documentation, testing, and
• Ensure data quality and reliability across pipelines and tools.
• Collaborate with Risk Strategy to ideate on model inputs and applications.
• Collaborate with Engineering to optimize deployment and observability.
• Act as a technical lead prototyping, iterating on, and codifying best practices - and bringing the

🎯 Requirements

• 7+ years of experience working with and analyzing large datasets to solve problems and drive
• Proficiency in SQL
• Proficiency in Python
• Experience with statistical modeling and machine learning
• Experience deploying and monitoring machine learning models in production
• Comfort working in a fast-paced environment with evolving priorities

🎁 Benefits

• Total rewards package includes base salary, equity (stock options/RSUs), and benefits.
• Salary and equity ranges are highly competitive within the SaaS and fintech industry.
• Target new hire base salary ranges: US employees: $239,000 - $298,800 USD; Canadian employees