📋 Description

• Develop ML models for document verification and fraud detection.
• Evaluate production models and monitor performance.
• Collaborate with Product, Engineering, Fraud Ops, and DS teams.
• Build dashboards and KPIs for product and operational metrics.
• Design and improve labeling, experiments, and automation tooling.
• Advance analytics infrastructure for ML workflows.

🎯 Requirements

• MS/PhD in CS, Statistics, Data Science, or related field.
• 5+ years in ML, data science, fraud analytics, or product analytics.
• Strong SQL and Python skills.
• Experience with Databricks, Spark, AWS Sagemaker or similar.
• Solid expertise in experimentation and ML evaluation.

🎁 Benefits

• Competitive compensation: $191K – $230K per year
• Equity and bonus opportunities
• Hybrid work in SF and collaboration across teams
• Comprehensive benefits and equal opportunity employer