San FranciscoFull TimeSoftware Development
Remotely
pythonmachine learningsqlsparkfraud analyticsdatadocument verificationdatabricksaws sagemaker
Job Description
📋 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
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