Role Overview
The Data Scientist will design experiments and causal models, and own the data pipelines, metrics, and reporting infrastructure to provide a comprehensive understanding of customer segments, affinities, and lifetime value.
What You Will Do
Design and implement scalable, statistically rigorous experiments to measure marketing incrementality across channels, perform power analysis and minimum detectable effect (MDE) calculations, build causal and treatment-effect models, and develop measurement frameworks.
Why It Might Be a Fit
The ideal candidate will have experience working closely with business and software engineers to design rigorous experiments, build data infrastructure, and translate results into decisions.
Requirements
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
To apply for this job please visit amazon.jobs.
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