Job Description :
Data Scientist,

Charlotte, NC 

6+ Months Contract

Phone + Skype



Description:




Minimum 3 years of experience in Data Science or Data Engineering with working knowledge of a Hadoop ecosystem 

Tools include: Spark, Hive, Oozie workflows (HortonWorks 2.6 )


In depth knowledge of developing code in Spark, Python/R, or Scala for machine learning
Experience of application integration middleware

Able to ingest and digress data from Hadoop


Linux knowledge
Understanding of RDBMS and ETL tools



DATA INTEGRATION PLUS SKILLS 


Extensive experience in large scale system implementations
Mastery of Machine Learning, algorithms and advanced mathematics
Knowledge of Microsoft SSRS/ SSIS/ SSAS or power BI




DATA INTEGRATION RESPONSIBILITIES: 



This position is responsible for designing and maintaining highly scale-able data management systems, building high-performance algorithms, prototypes and predictive models, as well as creating customer software components by employing a variety of programming languages and off-the-shelf tools to marry system together. In his/her role, the data engineer will work closely with data architects to determine what data management systems are appropriate and data scientists to determine which data are needed for analysis. This position will work with stakeholders to understand their information needs and translate these into technical solutions using such tools as Spark, Hbase, Hive, NiFi, Python and R.  This position will work intimately with existing team of Data Science staff to take existing or new/prototype models and convert them into scalable analytical solutions
             

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