Staff Data Scientist

Responsibilities

• Build, validate, and deploy machine learning models to identify and prevent fraud in real time.
• Document, test, and monitor models to support reproducibility and robustness.
• Ensure data quality and reliability across pipelines and tools.
• Collaborate with Risk Strategy to develop model inputs and applications, and with Engineering to optimize deployment and observability.
• Act as a technical lead by prototyping, iterating on, and codifying best practices while helping teammates adopt them.
• Drive strategic alignment across teams with differing roadmaps, timelines, or architectures.

Requirements

• 7+ years of experience working with and analyzing large datasets to solve problems and drive impact.
• 5+ years of machine learning experience.
• Proficiency in SQL and experience using it to understand and manage imperfect data.
• Proficiency in Python, statistical modeling, and machine learning.
• Experience deploying and monitoring machine learning models in production.
• Ability to lead and empower others while delivering independently and developing teammates.
• Comfort working in a fast-paced environment with evolving priorities.

Nice-to-haves

• 1+ years of relevant risk experience.
• Familiarity with large language models or generative AI applications for risk or fraud detection.
• Experience with modern data pipeline and ETL tools such as dbt.
• Experience with model governance in finance or other regulated industries.
• Experience building zero-to-one solutions in ambiguous or greenfield problem spaces.

Compensation

• US employees: target new-hire base salary of $239,000–$298,800 USD.
• Canadian employees: target new-hire base salary of $225,900–$282,400 CAD.
• Total rewards include base salary, equity, and benefits.