Data Scientist

Job Description

Responsibilities

Here are some things you’ll do on the job:

• 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

You should have:

• 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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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