Data Scientist, Core Experimentation
Tasks
- Build solutions for experimentation challenges
- Design experimentation methodologies
- Develop scalable analytical systems and pipelines
- Drive experimentation technical strategy
- Establish experimentation governance best practices
- Improve experiment reliability and trustworthiness
- Lead investigations into experimentation anomalies
- Mentor data scientists on causal inference
- Partner with engineers and product teams on experiment design
Perks/Benefits
Skills/Tech-stack
Apache Spark | Bias Mitigation | Causal Inference | Data Quality | Distributed Computing | Heterogeneous treatment effects | Metric Design | Online Experimentation | Python | Sample Ratio Mismatch | Sample Ratio Mismatch Detection | Sequential testing | Variance reduction
Education
N/A
Roles
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