Sr Data Scientist
Tasks
- Build scalable risk features and detection frameworks
- Collaborate on data driven prevention and enforcement strategies
- Design and develop machine learning models for abuse detection
- Establish model evaluation monitoring drift detection and impact measurement best practices
- Investigate abuse patterns and translate insights into models rules and dashboards
- Lead end-to-end data science initiatives
- Mentor junior data scientists and communicate analytical findings
- Optimize model performance and reduce false positives
- Partner with engineering and security teams to productionize data science solutions
Perks/Benefits
- 401k
- Disability insurance
- Life insurance
- Medical, dental, and vision insurance
- Paid Company Holidays
- Paid parental leave
- Paid time off
- Sick time
Skills/Tech-stack
AWS | Airflow | Anomaly Detection | Apache Spark | Calibration | Databricks | Drift Detection | Feature Engineering | Fraud Detection | GCP | Kafka | Kubernetes | Machine Learning | Model Monitoring | Precision-recall | Python | R | SQL | Snowflake | Statistical modeling
Education
N/A
Roles
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