Data Scientist

• Build out our foundational processes for generating and surfacing model performance metrics, including crafting + calculating the metrics and building python rails.
• Act as point of contact for Strategic Financial Partners and manage their model governance needs. Regularly conduct performance and exploratory analyses to establish the quality of model outcomes.
• Providing guidance on the appropriate use of our products, respond to inquiries around model development procedures and generate stability analyses.
• Create automation to detect inconsistencies or issues with the production models that power our fraud detection products, such as data driven gap analysis to automation via anomaly detection or training challenger models to identify weaknesses.
• Primarily work with a Python ecosystem, using SQL, SageMaker, S3, Metabase and Git to support.

Model Risk Data Scientist

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist

Senior Data Scientist, Product Growth