Data Scientist
Tasks
- Analyze user behavior and translate into quality metrics
- Apply causal inference and experimental design for evaluation
- Define algorithm quality specifications
- Define data requirements and labeling standards
- Develop test scenario frameworks
- Establish performance benchmarks
- Evaluate failure modes and edge cases
- Partner with cross functional teams to align quality standards
- Run dataset tests for algorithm performance
- Validate customer facing algorithms with data
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Benchmarking | Causal Inference | Data labeling | Experimental Design | Machine Learning | Python | Regression Analysis | Sensor algorithms | Signal Processing | Significance Testing | Test Planning
Education
Regions
Countries
States
Cities
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