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responsibilities
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Work with large, complex data sets.
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Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, and ongoing deliverables and presentations.
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Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed for both products development and sales activity.
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Directly manage a data science team. Interact cross-functionally with a wide variety of people and teams.
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Work closely with engineers to identify opportunities for design and assess improvements to products.
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Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations.
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12 years of relevant, tech industry work experience, including expertise and experience with statistical data analysis (linear models, multivariate analysis, stochastic models, sampling methods).
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8 years of demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques, including people management.
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Applied experience with machine learning on large datasets.
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