Junior Level:

• Must have at least 1 year of experience manipulating data sets and building statistical models

• Uses predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.

• Utilizes machine learning algorithms and models and presents them using data visualization techniques.

• Has familiarity with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning. Mid-Level:

• Must have at least 2-4 years of experience manipulating data sets and building statistical models

• Familiar with the following software/tools: o Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. o Knowledge and experience in statistical and data mining techniques o Experience querying databases and using statistical computer languages o Experience using web services: Redshift, S3, Spark, etc. o Has strong familiarity knowledge with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning. o Exceptional understanding of the different software utilities for data and computation such as Hadoop, Apache Spark and Impala. Senior Level:

• Must have at least 5-7 years of experience manipulating data sets and building statistical models

• Familiar with the following software/tools: o