Data Scientist, Transparency & Observability - Trust and Safety
Tasks
- Analyze data to identify emerging risks and opportunities
- Build dashboards and monitoring solutions
- Build measurement frameworks across teams
- Design trust and safety metrics
- Develop transparency reporting approaches
- Ensure data quality and on-time delivery
- Implement anomaly detection and alerting
- Improve data reliability and governance
- Investigate data issues and identify root causes
- Monitor model performance impacts
- Support strategic decision-making
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Anomaly Detection | Apache Hive | Apache Spark | Causal Inference | Dashboards | Data Quality | Experimentation | Monitoring | Observability | Python | R | SQL | Series analysis | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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