Experimentation Analytics Lead
Expert Technology Services
Job Summary (List Format):
- Conduct and analyze digital A/B tests and multivariate experiments to drive product improvements.
- Utilize strong statistical knowledge (hypothesis testing, power analysis, confidence intervals, variance, experimental design) to ensure experiment validity.
- Work extensively with large-scale behavioral or event-level datasets using SQL and analytics tools.
- Leverage experimentation platforms such as Adobe Target, Optimizely, Statsig, LaunchDarkly, or similar.
- Apply advanced experimentation techniques (CUPED, sequential testing, Bayesian methods, causal inference, heterogeneous treatment effects).
- Interpret ecommerce product metrics and digital customer journeys to provide actionable insights.
- Identify and address experiment quality issues, effectively communicating statistical concepts to non-technical stakeholders.
- Preferably use Python or R for data analysis and experiment implementation.
- Present experiment results and insights as clear business recommendations.
- Collaborate cross-functionally within a retail environment, working onsite in San Francisco.
- Maintain strong communication skills and contribute to team knowledge sharing.
- Ensure all candidate submissions include a LinkedIn profile; background checks required.
- Conduct and analyze digital A/B tests and multivariate experiments to drive product improvements.
- Utilize strong statistical knowledge (hypothesis testing, power analysis, confidence intervals, variance, experimental design) to ensure experiment validity.
- Work extensively with large-scale behavioral or event-level datasets using SQL and analytics tools.
- Leverage experimentation platforms such as Adobe Target, Optimizely, Statsig, LaunchDarkly, or similar.
- Apply advanced experimentation techniques (CUPED, sequential testing, Bayesian methods, causal inference, heterogeneous treatment effects).
- Interpret ecommerce product metrics and digital customer journeys to provide actionable insights.
- Identify and address experiment quality issues, effectively communicating statistical concepts to non-technical stakeholders.
- Preferably use Python or R for data analysis and experiment implementation.
- Present experiment results and insights as clear business recommendations.
- Collaborate cross-functionally within a retail environment, working onsite in San Francisco.
- Maintain strong communication skills and contribute to team knowledge sharing.
- Ensure all candidate submissions include a LinkedIn profile; background checks required.
Vacancy posted 2 days ago
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