Required Qualifications:
- 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.
- Candidate must be enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship.
Other Requirements:
- Ability to submit an official or unofficial academic transcript as part of the evaluation process, if selected for interviews.
Preferred Qualifications:
- Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.
- Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#.
- Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.
- Some experience and or project course work with product and service telemetry systems.
- Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.).
- Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data.
The base pay range for this internship is USD $6710.00 - $13270.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8760.00 - $14360.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: