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Square: Data Scientist, Commerce Platform
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- Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (e.g. machine learning).
- Contribute to the data strategy of the platform and influence stakeholders to make well-informed architecture and design decisions that affect data at Square
- A degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
- Experience with a BI tool such as Looker or Tableau
- Machine Learning (e.g. regression, ensemble methods, neural networks, etc.)
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