A.C. Coy

  • Senior Data Scientist

    Job Locations US-Harmony
    Posted Date 3 months ago(4/6/2018 2:14 PM)
    Job ID
    # of Openings
    Information Technology
  • Overview

    One of our preferred health system clients has a full time hire position for a Senior Data Scientist that will mine patterns with data that is available internally and outside to the client, to apply scientific method to evaluate and develop testable solutions.


    • Use parameters from business objectives to identify relevant source data that are internal and/or external to client.
    • Generates data insights by conducting data exploration and apply quantitative techniques such as inferential models, segmentation analysis, time series forecasting, or synthetic control experiments to identify hidden patterns. 
    • Utilizes these data insights as inputs to generate data products, a process that returns algorithmically generated results.
    • Will enable data driven decisions that are directly connected to a business or clinical objective and generate a measurable financial benefit. 


    • Eight years of progressively responsible experience in a directly related area, during which professional capabilities have been clearly demonstrated.

    Prior experience with the following technologies:

    •  Reporting tools such as Tableau, SSRS, Business Objects, Crystal Reports, WebFOCUS
    • Languages – Java, C, C++, .NET, SAS, SQL, MDX
    • ETL, data ingestion, and multidimensional data modeling, such as star schemas, snowflakes, de-normalized models, handling "slowly-changing" dimensions/attributes
    • Big data (NoSQL, unstructured, semi-structured) – Cloudera, HDInsights, HortonWorks, Hadoop, HBase, Hive, Imapala, Spark, MapReduce
    • MPP & distributed database development - IBM PureData, Oracle, MSSQL, Postgres, MySQL
    • Statistical tools such as R, Python, Scala, and/or SAS for developing predictive analytics


    • Bachelor Degree in Computer Science, Information Systems, Statistics, or a related field, required
    • Master Degree in Computer Science, Information Systems, Statistics, or a related field, preferred


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