Professional Data Sciences (51000639)

Job description

·  Job Description:

Summary

Provides data mining and analytics support to assist in predictive modeling initiatives. Identifies existing data sources with latent value and differentiation potential.

Essential Job Functions

·  Uses multi-dimensional and/or relational databases such as OLAP to identify and maintain the high-volume and high dimensionality data needed to support predictive models. Performs data compilation, cleansing and processing; queries databases and performs basic statistical analysis.
·  Determines informational needs and elements for using analytic techniques such as cluster analysis and association rules to build predictive models. Defines logical attributes and inter-relationships and assists in identifying possible correlations between variables of interest.
·  Assists in the design and implementation of high impact and predictive modeling initiatives.

Basic Qualifications

·  Bachelor's degree or equivalent combination of education and experience
·  Bachelor's degree in machine learning, applied mathematics, computer science or related field preferred
·  Three or more years experience in data analytics and/or modeling
·  Experience with multi-dimensional and/or relational databases such as NoSQL, OLAP, and others
·  Experience in manipulating high-volume, high-dimensionality data from varied sources using big data integration and analysis tools such as R, Matlab, SAS
·  Experience with data cleansing, validation and general quality control principles

Other Qualifications

·  Basic programming skills and familiarity in Java, Scala, Python, and/or similar
·  Basic problem solving skills to understand business challenges
·  Basic communication skills both oral and written
·  Ability to work independently and in a team environment
·  Ability to handle multiple tasks and switch between tasks quickly

Work Environment

·  Office environment