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responsibilities
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Apply advanced statistical methods and work with large, complex data sets.
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Solve difficult, non-routine challenges, and clearly communicate highly-technical results and methods.
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Interact cross-functionally with a wide variety of people and teams.
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Lead investigations into multiple streams of ads quality data.
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Competencies
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Relevant industry or research experience.
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Familiarity with both Classical and Bayesian inference.
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Familiarity with experimental design principles.
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Ability to draw conclusions from data and recommend actions.
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Demonstrated willingness to both teach others and learn new techniques.
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