Data Analytics Engineer, Customer Insight

Dallas, TX | Direct Hire

Post Date: 12/01/2017 Job ID: 47902 Industry: Data Scientist

Our client has an immediate opening for a Data Analytics Engineer reporting to a Senior Data Scientist of Advanced Analytics.  This position supports the advanced analytics team in providing insights into customer behavior to enable decision making relating to promotions, events and marketing programs for all brands both in stores and online.

Job Duties
  • Support advanced analytics team in exploiting data in an effort to promote growth and business development via data processing in a hadoop environment
  • Leverage state-of-the-art data processing tools and/or analytical methodologies to drive improved decisions
  • Support the team in development and/or implement various types of predictive models, segmentation strategies, optimization algorithms, and data mining analyses with a targeted result of increasing revenue
  • Conduct multi-channel analytics for online and integrated online/offline contexts

Job Requirements
  • Experience in processing and performing multi-faceted analysis with customer/consumer behavior data
  • Experience in developing or enhancing machine learning and artificial intelligence algorithms using Python, R, C++, Java, Matlab
  • Experience in working with distributed computing i.e. Hive SQL, Pig, Java Map/Reduce, Apache Spark
  • Experience in SAS
  • Knowledge of descriptive analytics and data visualization
  • Exceptional standards for quality and strong attention to detail
  • Experience with full lifecycle agile application development in supporting analytic requirement
  • Ability to manage multiple projects and on-demand business requests simultaneously

Our client has an immediate opening for a Data Analytics Engineer reporting to a Senior Data Scientist of Advanced Analytics.  This position supports the advanced analytics team in providing insights into customer behavior to enable decision making relating to promotions, events and marketing programs for all brands both in stores and online.

Job Duties
  • Support advanced analytics team in exploiting data in an effort to promote growth and business development via data processing in a hadoop environment
  • Leverage state-of-the-art data processing tools and/or analytical methodologies to drive improved decisions
  • Support the team in development and/or implement various types of predictive models, segmentation strategies, optimization algorithms, and data mining analyses with a targeted result of increasing revenue
  • Conduct multi-channel analytics for online and integrated online/offline contexts

Job Requirements
  • Experience in processing and performing multi-faceted analysis with customer/consumer behavior data
  • Experience in developing or enhancing machine learning and artificial intelligence algorithms using Python, R, C++, Java, Matlab
  • Experience in working with distributed computing i.e. Hive SQL, Pig, Java Map/Reduce, Apache Spark
  • Experience in SAS
  • Knowledge of descriptive analytics and data visualization
  • Exceptional standards for quality and strong attention to detail
  • Experience with full lifecycle agile application development in supporting analytic requirement
  • Ability to manage multiple projects and on-demand business requests simultaneously
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