Senior 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 and with Engineering

🎯 Requirements

• 5+ years of experience working with and analyzing large datasets to solve problems and drive
• Proficiency in SQL and experience using it to understand and manage imperfect data
• Proficiency in Python and 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
• 1+ years of relevant risk experience

🎁 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
• New hire offers are made based on a candidate’s experience, expertise, geographic location, and