Role Summary
We are seeking an accomplished Data Scientist to join our team.
Job Description
The selected candidate will be responsible for designing and implementing best practices in experimentation, A/B testing, and data analysis. This includes the development of innovative solutions for time-series modeling and panel data analysis.
Collaboration with cross-functional teams is crucial to determine the best course of action for testing and experimentation across various initiatives and products.
Key Responsibilities
* Develop and implement effective experiment designs and analysis methodologies.
* Collaborate with data scientists, analysts, product managers, and engineers to drive testing and experimentation strategies.
Requirements
* PhD in Statistics, Biostatistics, Economics, or Mathematics, or a master's degree with 2+ years of practical experience.
* Excellent communication skills for technical and non-technical audiences.
* Strong expertise in causal inference methods and experimental design.
* Experience with time-series modeling and analysis of repeated-measures data.
* Proficiency in Python and/or R programming languages.
* Knowledge of SQL is beneficial.
Benefits
* A diverse work environment that combines Data Science, Analytics, and Product.
* The opportunity to take ownership of projects and identify new areas for experimentation.