Senior Data Scientist

Job Description

REQUIREMENTS

• 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 3+ years of ML experience
• 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

Ideally you also have:

• 1+ years of relevant risk experience
• Familiarity with LLMs or other GenAI and how they can be applied to risk or fraud detection
• Experience with modern data tools for pipelines and ETL (e.g., dbt)
• Experience with model governance as required in finance or other regulated industries
• Experience building zero-to-one solutions in ambiguous or greenfield problem spaces

RESPONSIBILITES

• 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 monitoring
• Ensure data quality and reliability across pipelines and tools
• Collaborate with Risk Strategy to ideate on model inputs and applications and with Engineering optimize deployment and observability

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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