Data Scientist 6 - Experimentation Platform
Tasks
- Advise on experimentation methodology in company discussions
- Build tools and processes for experimentation best practices
- Collaborate with data science and engineering stakeholders
- Consolidate fragmented experimentation systems into a platform
- Define metrics reports and templates
- Demonstrate causal inference trustworthiness to partners
- Drive experimentation adoption across teams
- Mentor team members on experimentation methodology
- Set experimentation platform strategy
- Set standards for inference practices
- Translate data science needs into platform engineering requirements
- Verify causal inference data allocation logging and processing
Perks/Benefits
- 401k retirement plan
- Disability programs
- Flexible spending account
- Flexible time off
- Health plans
- Health savings account
- Mental health support
- Paid leave
- Stock Option Program
Skills/Tech-stack
API Design | Allocation Versus Analysis Unit | Anytime Valid Methods | Causal Inference | Covariate Adjustment | Experiment design | Experimentation platform | False Discovery Rate | Optimization | Peeking | Python | Regression to the Mean | SQL | Sample Ratio Mismatch | Schema Design | Statistics | System design | Winner's Curse
Education
Bachelor of Engineering | Master of Engineering | Master of Science | PhD
Roles
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