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Apply advanced statistical methods and work with large, complex data sets. Solve difficult, non-routine problems, and clearly communicate highly technical results and methods.
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Help plan, launch, and analyze growth promotions and experiments in mobile apps (funnel analysis, path analysis, cohorts analysis). Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
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Develop and automate reports, and iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
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Collaborate with cross-functional stakeholders to understand their business needs. Formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.
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Develop comprehensive understanding of data structures and metrics, advocating for changes where needed. Guide our project through using Machine Learning, including data structuring and implementation.
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Demonstrated willingness to both teach others and to learn new techniques.
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Demonstrated 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. Demonstrated interest and aptitude in data, metrics, analysis, and trends.
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