Responsibilities:
— Lead statistical strategy and enhance the core experimentation platform.
— Work with causal inference, sequential testing, variance reduction techniques such as CUPED.
— Apply expertise in statistics, data modeling, and metric design.
— Develop and maintain data pipelines.
— Address issues like sample ratio mismatch.
Requirements:
— Proficiency in Python and Spark.
Benefits:
— Hybrid work format in Bellevue.
The role involves working with advanced statistical methods and improving experimentation infrastructure to support data-driven decision making.
Зарплаты и спрос: Data Scientist
Сейчас в каталоге 346 вакансий по этому направлению, удалённо можно работать в 20%.
Навыки этой вакансии, которые чаще всего просят по направлению: Python (28%). В скобках доля вакансий направления.
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