Basic Qualifications:

• Enrolled in a Master's degree or equivalent in math, statistics, computer science, or related science field.
• Experience with regression modeling, prediction, forecasting, and time series analysis.
• Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.).
• Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.

Preferred Qualifications:

• Enrolled in a Ph.D. degree or equivalent in math, statistics, computer science, or related science field.
• Experience in machine-learning methodologies (e.g., supervised and unsupervised learning, deep learning, etc.)
• Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive).
• Experience in communicating technically, at a level appropriate for the audience.