- Formulate approaches to solve problems using well defined algorithms and data sources
- Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
- Use data exploration techniques to discover recent questions or opportunities within your problem area and propose applicability and limitations of the data.
- Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
- Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
- Participate in the peer review process and act on feedback while learning innovative methods, algorithms,



and tools to increase the impact and applicability of your results.

Requirements
- Currently pursuing a Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
- Must have at least one additional quarter/semester of school remaining following the completion of the internship.

Preferred Qualifications:
- Currently pursuing a Master's in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.

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