Data Scientist

Company:
Location: Coraopolis, PA 15108

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The Data Scientist in the eCommerce department performs detailed analyses on our online customer in order to make recommendations on how to increase business growth. The data scientist will focus on blending various data sources and applying machine learning models and data mining techniques to create these insights and new processes.

Machine Learning Applications & Analyses

  • Apply machine learning and data mining techniques to extract actionable insights from large-scale, high-dimensional data.
  • Build and put into deployment algorithmic solutions that focus on improving the customer’s experience both in-store and on our web properties.
  • Compile data from desperate data sources leveraging both qualitative and quantitative data to build holistic views of customer’s experience.
  • Distill these complex analyses into presentations and recommendations for non-technical business units.

Data and Reporting

  • Support eCommerce leadership and business units with critical data for ad-hoc requests to inform business decisions.
  • Develop and support reporting needs through construction of automated dashboards in conjunction with the data and reporting team

Client Liaison

  • Work with a variety of business units within the eCommerce department to help translate their requirements into specific analytical deliverables.
  • Continue to improve and advance communications and collaborations amongst the various analytics teams and eCommerce business units.

Training

  • Lead or support formal and/or informal training for team members on the various tools used for team members within the analytics team or client teams.
Qualifications

  • Bachelor's Degree in Statistics, Computer Science, Engineering, Mathematics, Economics, or other quantitative field -Additional experience will be considered in lieu of an advanced degree.
  • 1-3 years of experience in Statistics/Machine Learning with applications in R or Python and have experience creating visualizations and presentations for non-technical users.
  • Python or R experience
  • Applications of machine learning in retail is a plus
  • Experience with Hadoop is a plus
  • Experience with messy and large data is a plus
  • SQL is a plus

*** Mention DataYoshi when applying ***

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